DE102020007964A1 - Working procedure for treatment of abstract objects (thought-substances) in front of a computer system of artificial intelligence from a cyborg or an android. - Google Patents

Abstract

A working procedure for handling abstract objects (thought-substances) by a computer system of artificial intelligence from a cyborg or an android, which working procedure is based on a natural language and in which working procedure internal guidelines of an abstract subjectivity of the computer system are used. The working process is driven by the computer system from the artificial intelligence of the cyborg or the android itself. In the working process, the computer system processes the abstract objects, or classes of the abstract objects, from the artificial intelligence of the cyborg or the android in a non-continuous treatment mode, ie discretely. A decision as to whether an abstract object is to be treated and how the abstract object is to be treated as part of a treatment scenario is made by the artificial intelligence according to a classification tree of the computer system. A type of treatment is determined by the artificial intelligence from a functional polymorphism of the computer system, or it can be provided directly. The abstract objects and the classes of the abstract objects are subjectively classified by the computer system of the artificial intelligence itself in the one natural language. The abstract objects are built according to the associative objects, which are unique after a signal phrase and a sense occupancy of at least one sense. The sense assignment is integrated in the signal phrase. More than ten internal guidelines can be used in the working procedure.

Description

The present invention relates to a working method for handling abstract objects (thought-substances) by a computer system of artificial intelligence from a cyborg or an android, which working method is based on a natural language.

From the European patent specification ( KR2003000254 , UK 10361726 ) is a robot toy with artificial intelligence and control methods known for it. Several robot specific claims are patented in this patent. The artificial intelligence of this robot toy is intended for its mechanical control.

It is an object recognition method for a mobile robot navigation from the American patent specification ( US5963663A ) known. In this invention, the objects are the landmarks (the marks) (“a land mark (a sign)”). In the invention, a pattern in a signal is distinguished from another pattern with the aid of an element of character recognition, which works according to the principle of pattern recognition (“the pattern recognition”), of the neural network. For pattern recognition, the incoming signal is broken down into “red” values, “green” values and “blue” values. This invention makes it possible for a robot to perform various specialized tasks. This invention is not intended as a system of artificial intelligence from a cyborg or an android.

1. 1. um ein Verfahren von Verwendung von den Multiview Training Videos um automatisch viewunabhängige Repräsentationen von Bewegungen in der Architektur von einer wahrscheinlichen kontext-freien Grammatik zu kreieren;
2. 2. um das, dass jede Körperpose als eine Sammlung von Silhouetten, die von verschiedenen „Viewspoints“ beobachtet wurden, repräsentiert wurde;
3. 3. um das, dass man die Körperbewegungen über visuelle Verben von dem niedrigen Level, die die direkten visuellen Gegenstücke haben, bezeichnet wurde;
4. 4. um das, dass in der Architektur jedes visuelle Verb (eine Bewegung) bei einer kurzen Sequenz von Paaren von den Schlüsselposen beschrieben wurde;
5. 5. um das auch, „dass es klar ist, dass eine partikulare Schlüsselpose (wie z.B. das Aufrechtstehen) für mehrere Bewegungen gemeinsam sein kann“;
6. 6. um das, dass die Bewegungen mit den Namen (wie das Knien) nur für Präsentationszwecke benannt wurden.

For the current state of the art, view-invariant modeling and recognition of human movements using grammars is described in the article (Ogale, AS et al.: View-invariant modeling and recognition of human actions using grammars. International Conference on Computer Vision (ICCV), Workshop on Dynamical Vision, October 2005). This article is about:

1. 1. to provide a method of using the multiview training videos to automatically create view-independent representations of movements in the architecture from a probable context-free grammar;
2. 2. that each body pose was represented as a collection of silhouettes observed from different viewpoints;
3. 3. the fact that body movements were denoted by low-level visual verbs that have direct visual counterparts;
4. 4. that in the architecture each visual verb (movement) was described by a short sequence of pairs of key poses;
5. 5. also about “that it is clear that a particular key pose (such as standing upright) can be common to several movements”;
6. 6. That the movements were named (like kneeling) for presentation purposes only.

1. 1. um einen Parser, der einen geschriebenen Text in die Darstellung von einem spezifischen linguistik-basierenden Format für semantische Netzwerke umwandelt;
2. 2. um das, dass die Netze selbst in einem Web Format, wo die Links von den semantischen Netzwerken als die echten HTML Hyperlinks (für Web Seiten, die Knoten darstellen) realisiert werden können;
3. 3. um das, dass die Knoten in einem Semantischen Netzwerk auf den Begriffen von den Offenen Klassen, bzw. den Wörtern, die die ganze Zeit zu den Sprachen hinzugefügt werden, und zwar auf Nomen, Verben, Adjektiven und Adverben, basiert sind, und, die Links auf gebliebenen „Funktionswörtern“ (unter anderen Präpositionen, Determinativen, Hilfsverben, Pronomen, und Konjunktionen), den Geschlossenen Klassen, den Wortkategorien, die neuen Wortkategorienglieder nicht leicht erlauben, basiert sind;
4. 4. um das, dass der Parser speziell die Endungen von den Wörter, z.B., „-ing“, „-ed“, „-s“ (Plural oder Aktive), und „-ly“ betrachtet um den ganzen Wortstamm zu verwalten.

It is an Extensible Shallow Parsing for Semantic Nets from the article (Connell, J.: Extensible Shallow Parsing for Semantic Nets. IBM Technical report, Computer Science, RC 22339, January 2001, pp. 1-6) for the current state of the art relevant. This article is about:

1. 1. a parser that converts a written text into the representation of a specific linguistics-based format for semantic networks;
2. 2. that the networks themselves are in a web format, where the links from the semantic networks can be implemented as real HTML hyperlinks (for web pages representing nodes);
3. 3. That the nodes in a Semantic Network are based on the concepts of Open Classes, ie the words that are added to languages all the time, namely nouns, verbs, adjectives and adverbs, and Links based on remained "function words" (among other prepositions, determiners, auxiliary verbs, pronouns, and conjunctions), closed classes, word categories that do not easily allow new word category members;
4. 4. That the parser looks specifically at the endings of the words, eg, "-ing", "-ed", "-s" (plural or active), and "-ly" to manage the whole stem of the word.

1. 1. um einen Roboter-Manipulator, der die gesprochenen Befehle, wie „reiche mir das blaue Stück, rechts von dir“, in die passenden Bewegungen übersetzt;
2. 2. um das, dass „... die dynamische Interaktionen zwischen Objekten. Zum Beispiel, die Bedeutung „Hand hebt Block auf‟ in der Reihenfolge von Tisch-unterstützt-Block, Handkontaktiert-Block, Hand-nimmt-Block, Hand-unterstützt-Block modelliert wird“;
3. 3. um ein Verfahren, in dem die Bedeutung von den Verben, Adjektiven und Nomen relativ zu den physikalischen Echt-Welt-Bezügen mittels der Verwendung einer vereinheitlichten darstellerischen Architektur grundiert wird; um das, dass die Verbe in Sensorik-Motor Steuerung Programmen, ähnlich X-Schemas, grundiert werden; um das, dass die Adjektive, die Eigenschaften von Objekten beschreiben, in Sensorik-Reaktionen relativ zu den spezifischen Bewegungen grundiert werden; um das, dass die Lokationen in Begriffen von den Körper-relativen Koordinaten verschlüsselt werden; um das, dass die Objekte, wie ein Bündel von Eigenschaften, das zu einer einzelnen Lokation (einem Nomen) verbunden ist, dargestellt werden; um das, dass das computerbetonte Modell eine Darstellung liefert, die die Semantik von den Wörter für Objekte („Lokationen“), ihre Eigenschaften und Bewegungen, die auf diesen Objekten gemacht werden können, unterscheidet, und, sich auf der Semantik von den Wörter für Objekte („Lokationen“), ihre Eigenschaften und Bewegungen, die auf diesen Objekten gemacht werden können, bezieht;
4. 4. um das, dass „wir (Menschen) nicht erwarten können, dass solche Modelle und Systeme das, wie die Leute denken und kommunizieren, direkt erklärt werden“.

For the current state of the art, Grounding words in perception and action: computational insights from the article (Roy, D.: Grounding words in perception and action: computational insights. In: Trends in Cognitive Sciences, Vol. 9, No. 8, August 2005, pp.389-396). This article is about:

1. 1. A robotic manipulator that translates spoken commands, such as "hand me the blue piece to your right" into the appropriate movements;
2. 2. that “... the dynamic interactions between objects. For example, the meaning "hand picks up block" in the order of table-supported-block, hand contact ted-block, hand-takes-block, hand-supports-block”;
3. 3. A method in which the meaning of the verbs, adjectives and nouns relative to real-world physical references is primed through the use of a unified representational architecture; about the fact that the verbs in sensory motor control programs, similar to X-schemes, are primed; about that, that the adjectives describing properties of objects are grounded in sensory responses relative to the specific movements; about that, that the locations are encoded in terms of the body-relative coordinates; about that the objects are represented as a bundle of properties connected to a single location (a noun); that the computational model provides a representation that distinguishes the semantics of the words for objects ("locations"), their properties, and motions that can be made on those objects, and that the semantics of the words for objects ("Locations"), their properties and movements that can be made on those objects;
4. 4. that “we (humans) cannot expect such models and systems to directly explain how people think and communicate”.

1. 1. die NLAs, die fortgeschrittenen Analysatoren von der natürlichen Sprache;
2. 2. die Expertensysteme, bzw. um das, dass jemand (z.B. ein Experte) einige relevanten Fakten über eine einzelne Domäne kennt und diese Fakten mit Benutzung einer natürlichen Sprache zu beschreiben versucht; dass jemand anderes noch (z.B. ein System) diese Ausdrücke (oder die beschriebenen Symbole) versteht und auch, als Konsequenz, die beschriebenen Fakten;
3. 3. das, dass vier Teilnehmer mindestens in den Prozess involviert sind: Kenner 1, der das Fachwissen, das in eine Mentale Sprache kodiert ist, hat; die Quelle-Sprache, die das Fachwissen zu einigen Empfängern übermittelt; Kenner 2, der der Empfänger von dem Quelle-Sprache-Ausdruck ist (und möglich, sozusagen, ein Softwareprodukt ist); und letztendlich eine Domäne, auf welcher die oben genannten Repräsentationen sich auf die eine oder die andere Art beziehen;
4. 4. das, dass typische Beispiele von den offenen Welten (den offenen Domänen) in den medizinischen Diagnosen, in den Stellenbewerberbewertungen usw. erscheinen würden; dass typische Beispiele von den geschlossenen Welten (den geschlossenen Domänen) Spiele wie Schach sind;
5. 5. das, dass die Wortbedeutung von der „Wortbedeutung“ in statischen und dynamischen Sprachen komplett unterschiedlich ist; dass eine statische Sprache nur einen Aspekt von der realen Welt abdecken kann; dass die Zielrepräsentation eine formale (statische) maschinebearbeitbare Sprache sein muss; dass in dynamischen Sprachen die Wortbedeutung von einem Ausdruck bei ihren Erscheinungen in allen Kontexten erweitert charakterisiert wurde, dass jede neue Verwendung von dem Ausdruck eine Erscheinung hinzufügt und damit die Wortbedeutung geändert wird; dass das Gespräch über die medizinische Diagnose, die Stellenbewerberbewertung usw. in einer natürlichen Sprache als die prototypische Form von einer dynamischen Sprache eine empfohlene Kombination ist;
6. 6. das, dass das Experte-Fachwissen in eine natürliche Sprache transferiert werden muss, und linguistische Ausdrucke, die von dem Prozess resultieren, wieder in das Fachwissen transferiert werden müssen, das heißt, in die Ausdrucke von einer ausgewählten Repräsentationssprache von dem Empfänger (oder dem entsprechendem System);
7. 7. die Regeln, z.B. „Wenn das oder das in dem Fall ist, dann dies oder dies in dem Fall ist“, (bzw. die Regelbasierten Systeme);
8. 8. das, wenn aber ein System früheres Fachwissen verlangt um eine Regel, die in einer natürlichen Sprache formuliert ist, zu verstehen, nicht das ganze Fachwissen via eine natürliche Sprache übermitteln werden kann;
9. 9. das, dass es (z.B.) sehr schwierig ist, das allgemein-bedeutende (naive) Fachwissen mittels einer Natürlichen Sprache weiterzuleiten („Darüber hinaus erwerben es die Menschen auch nicht auf diese Art und Weise“); dass das allgemein-bedeutende Fachwissen in einem NLA+ entweder „programmiert“ oder mit Verwendung von anderen Medien als eine Natürliche Sprache erfasst werden muss;
10. 10. das, dass die generischen Sätze missverstanden sein können; dass so ein Satz „Der Eichelhäher hat einen speziellen Schnabel“ gleiche Oberflächenstruktur wie „Der Eichelhäher hat einen gebrochenen Flügel“ hat; dass der erste Satz ein generischer Satz ... (... über Eichelhäher (im Allgemeinen)) ist, während der zweite Satz ein Ereignis (über einen konkreten Eichelhäher) beschreibt; dass eine Lösung von solchen Problemen noch nicht in Sicht ist.

For the current state of the art, the article "Use of natural language for knowledge acquisition: Strategies to cope with semantic and pragmatic variation", Thomas Wetter, Ralf Nuse, IBM J. Res. Develop., Vol. 36, No. 3, May 1992, pp. 435-468 relevant. This article is about:

1. 1. the NLAs, the advanced analyzers of natural language;
2. 2. the expert systems, or that someone (eg an expert) knows some relevant facts about a single domain and tries to describe these facts using a natural language; that someone else (eg a system) understands these expressions (or the symbols described) and also, as a consequence, the facts described;
3. 3. That at least four participants are involved in the process: Connoisseur 1, who has the expertise encoded in a Mental Language; the source language, which conveys the expertise to some recipients; recognizer 2, which is the recipient of the source-speech utterance (and is possibly, so to speak, a software product); and finally a domain to which the above representations refer in one way or another;
4. 4. that typical examples from the open worlds (open domains) would appear in the medical diagnoses, in the job applicant evaluations, etc.; that typical examples of the closed worlds (the closed domains) are games like chess;
5. 5. that the word meaning of the "word meaning" is completely different in static and dynamic languages; that a static language can only cover one aspect of the real world; that the target representation must be a formal (static) machine-editable language; that in dynamic languages the word meaning of an expression has been characterized as expanding in its appearances in all contexts, that each new use of the expression adds an appearance and thus changes the word meaning; that talking about medical diagnosis, job applicant evaluation, etc. in natural language as the prototypical form of dynamic language is a recommended combination;
6. 6. that the expert's subject knowledge must be transferred into a natural language, and linguistic expressions resulting from the process must be transferred back into the subject knowledge, i.e., into the expressions of a chosen representation language by the recipient (or the corresponding system);
7. 7. the rules, eg "If this or that is the case, then this or that is the case" (or the rule-based systems);
8. 8. that, however, when a system requires prior expertise to understand a rule formulated in a natural language, not all of the expertise can be conveyed via a natural language;
9. 9. that it is (eg) very difficult to pass on the generally-significant (naïve) specialist knowledge by means of a natural language ("Moreover, people do not acquire it in this way either"); that the generally-significant expertise in an NLA+ must be either “programmed” or captured using media other than natural language;
10. 10. that the generic sentences can be misunderstood; that such a sentence "The jay has a special beak" has the same texture as "The jay has a broken wing"; that the first sentence is a generic sentence ... (... about jays (in general)), while the second sentence describes an event (about a concrete jay); that a solution to such problems is not yet in sight.

It is an automated patient monitoring and counseling system from the American patent application ( US20070106127A ) known. The system is based on a natural telephone conversation. The invention uses an EDP system to analyze the diagnostic parameters (the patient's vital measurements such as blood pressure, blood sugar level and heart rate). The diagnostic parameters are received from a remote location over a public communications network. The previously recorded therapeutic messages and recommendations are fed back to patients suffering from a variety of physiological and psychological conditions. The diagnosis and assessments are used to selectively retrieve from a database pre-written messages, feedback advice, past condition charts and the motivational audio-visual programs. If it is necessary, the emergency service and the doctor are alerted so that they can contact the patient directly and intervene. The subject of the invention is not a computer system of artificial intelligence from a cyborg or an android. This patent application does not refer to a working method for the handling of the abstract objects (the thought-substances to the corresponding association-substances) of the computer system of artificial intelligence from the cyborg or the android.

It is a training simulator and procedure, or interactive resuscitation of newborns with the appearance and responses of a child android from the American patent ( U.S.5509810 ) known. The simulator and method provide a trainee with a lifelike simulation of a resuscitation process on a newborn. In particular, a lifelike simulation would be offered of what a physician should know during the resuscitation of a newborn in the resuscitation team in a resuscitation ward in a hospital admissions office. Setting the simulated state on the android mimics a predetermined human response to the resuscitation activity performed by the trainee on the child android. In the further embodiments, the android is provided with the lifelike human appearance and reactions. A resuscitation workstation having the appearance of a conventional resuscitation workstation is also employed to present a real life simulation to the trainee. The main subject of the invention is not a computer system of artificial intelligence from a cyborg or an android. This patent, using a baby android like a child android in the first month after birth, has nothing to do with the working procedure for the treatment of the abstract objects (the thought-substances to the corresponding association-substances) of the computer system of artificial intelligence to be done by the cyborg or the android.

It is Interfacing Silicon Nanowires with Mammalian Cells from the article (Woong Kim, Jennifer K. Ng, Miki E. Kunitake, Bruce R. Conklin, and Peidong Yang: "Interfacing Silicon Nanowires with Mammalian Cells"; ACS PUBLICATIONS; Journal of the American Chemical Society (JACS); Published on Web: May 22, 2007; Copyright © 2007 American Chemical Society; pages 7228-7229). The article is about the fact that the US researchers at the University of California at Berkeley are growing mammalian cell collections on the nanowires. The aim of the research is to electronically connect external sensors to the mammalian cell. The researchers grow the mammalian cells on a silicon substrate covered by a layer of silicon nanowires. The wires become a very natural part of the cells because the nanowires are very thin.

The “Berlin Brain-Computer Interface” (BBCI) project is known as part of the project funded by the Federal Ministry of Education and Research (BMBF). (The BCI product sheet, "BBCI - Berlin Brain-Computer Interface", "Interface between brain and computer", Fraunhofer Institute for Computer Architecture and Software Technology FIRST, Clinic for Neurology, Campus Benjamin Franklin of the Charite - Universitätsmedizin Berlin, the project managers: Prof. Dr. Klaus-Robert Müller, Prof. Dr. Gabriel Curio.)

1. 1. „Bereits seit einigen Jahren arbeiten Forschungsgruppen in Europa und den USA an Systemen, die einen direkten Dialog zwischen Mensch und Maschine ermöglichen sollen. Hierzu wird eine Schnittstelle zwischen Gehirn und Rechner entwickelt, das Brain-Computer Interface (BCI).“
2. 2. „Man nutzt dazu die elektrische Hirnaktivität in Form des Elektroenzephalogramms (EEG). An der Kopfhaut angebrachte Elektroden messen die hirnelektrischen Signale. Diese werden verstärkt und an den Computer übermittelt, der die Gehirnsignale in technische Steuersignale umwandelt. Das Funktionsprinzip des BCI basiert darauf, dass die Hirnaktivität bereits die rein gedankliche Vorstellung eines Verhaltens widerspiegelt, zum Beispiel die Vorstellung, eine Hand oder einen Fuß zu bewegen. Das BCI erkennt die damit korrelierenden Veränderungen des Hirnstrombildes und nutzt sie etwa zur Auswahl zwischen zwei Alternativen: während eine Option durch die Vorstellung, die linke Hand zu bewegen, ausgewählt wird, führt die Vorstellung einer Bewegung der rechten Hand zur Auswahl der alternativen Option. Auf diese Weise können Geräte gesteuert werden, die an einen Computer angeschlossen sind ...“
3. 3. „Im Rahmen des vom Bundesministerium für Bildung und Forschung (BMBF) geförderten Projektes werden EEG-gesteuerte Systeme für den rechnergestützten Arbeitsplatz entworfen, um beispielsweise einen Cursor auf der Basis von Gehirnwellen zu steuern. Darüber hinaus werden medizinische Werkzeuge für Patienten entwickelt, die von Muskelschwund betroffen oder querschnittsgelähmt sind.“

The project is about:

1. 1. “Research groups in Europe and the USA have been working on systems that are intended to enable direct dialogue between man and machine for several years now. For this purpose, an interface between the brain and the computer is being developed, the Brain-Computer Interface (BCI)."
2. 2. “You use the electrical brain activity in the form of the electroencephalogram (EEG). Electrodes attached to the scalp measure the brain's electrical signals. These are amplified and transmitted to the computer, which converts the brain signals into technical control signals. The functional principle of the BCI is based on the fact that brain activity already reflects the purely mental idea of a behavior, for example the idea of moving a hand or a foot. The BCI recognizes the correlating changes in the brain wave image and uses them to choose between two alternatives: while an option is selected by imagining moving the left hand, imagining a movement of the right hand leads to the selection of the alternative option. This allows devices connected to a computer to be controlled..."
3. 3. "As part of the project funded by the Federal Ministry of Education and Research (BMBF), EEG-controlled systems for the computer-aided workplace are being designed, for example to control a cursor on the basis of brain waves. In addition, medical tools are being developed for patients affected by muscle wasting or paraplegia.”

There is a known brain chip implementation project by the American company Cyberkinetics. The chip is called "BrainGate" (TM) "Neural Interface System" and is an interface between the brain and the computer. The chip is implanted by neurosurgeons in the brain above what is known as the “motor cortex”. The implant receives nerve signals and transmits them to a processor. The processor knows the nerve signals of healthy people. As a result, the processor converts the signals into electrical impulses. The electrical impulses can be used to control a robotic prosthesis, eg a robotic arm, or a computer. This means that the robotic prosthesis movements are controlled directly by the human brain. The company plans to heal people who are disabled or ill from accidents, muscle wasting, strokes or nervous disorders. After the operation, the human is connected to a computer via an interface, a wire implanted directly in the human head. From my patent applications ( DE 10 2005 050 579.1 , U.S. 11/355,287 , IL 174910) a computer system and a working method of this computer system of artificial intelligence are known from a cyborg or an android. This patent application is about a computer system of artificial intelligence from a cyborg or an android based on a natural language, consisting of the hardware assemblies, the sensor groups, the interfaces, the sensory input receiver, the sensory output transmitter, the database, the cyborg interpreter. This natural language, which the computer system uses in its working process, is interpreted by this computer system in an object-oriented manner. A subjective object, a corresponding associative object and a corresponding abstract object are implemented by the computer system. The objects, or the classes of the objects, are not elements of a programming language. Computer system functionality is implemented on these natural language generated objects that are time-stamped and unique. These natural language generated objects can present more responses each from more sets of sensors than five responses from five sense organs. This patent application also describes various sequences of the working method according to which the computer system works in a natural language. For the working procedure in another language, the computer system uses the references.

From my patent applications ( DE 10 2006 052 141.2-53 , IL 182773), or my patent from the United States of America (patent U.S. 7,672,922 ), a pointer-oriented object detection method for abstract handling of information from a computer system of artificial intelligence from a cyborg or an android based on a natural language is known. This patent application is about the fact that the pointer-oriented object detection method for abstract treatment of information from the computer system of artificial intelligence of a cyborg or an android based on a natural language in the working memory of the computer system of artificial intelligence of a cyborg or an android to Runtime in the natural language in which the computer system is currently operating, in a way of thinking from the class-based model of OOP (Object-Oriented Programming), or the C++ programming language, like instantiating an object on the heap (the free available memory area with dynamic memory request), three pointers are created. In this way, the subjective object, the associative object and the abstract object of the artificial intelligence computer system are instantiated and initialized by a cyborg or an android. Through these objects, realized in natural language, it is possible to access the element variables, ie the data elements of a class, or the element variables, ie the data elements of a class from the classification tree of the computer system of artificial intelligence from a cyborg or an android manipulate. With the associative object, or with the second pointer, an association in the computer system of artificial intelligence is physically substantiated by a cyborg or an android. With the abstract object, or with the third pointer, a thought is physically substantiated by the computer system of artificial intelligence by a cyborg or an android.

Furthermore, humanoid robots are known which can move in a human or animal manner.

E.g. ASIMO is a robot developed by Honda company that can move in a human way.

Sony's AIBO, a robotic dog that can be programmed. He can also walk, see, show his feelings and speak predefined words.

The QRIO from Sony. He is humanoid robot that can move in human way. It can do everything the AIBO can do. He can also speak or conduct a dialogue. Speech recognition is used and predefined response scenarios with many thousands of words are prepared. In addition, the QRIO is very expensive.

Furthermore, first order logic, which plays a major role in computer science, in the programming of expert systems and artificial intelligence, is known worldwide. This is based on the logical predicate, which is more about a property than an action. The predicate is not considered object-oriented. Neither the subject term nor the predicate term are considered relative to time.

1. 1. Android:
   • 1.1. „Android der, -en/-en, Androide der, -n/-n ein zu bestimmten Tätigkeiten fähiger → Automat in Menschengestalt' (die Brockhaus-Enzyklopädie: in 24 Bd. - 19., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1986, ISBN 3-7653-1101-4/3-7653-1201-0; Seite 562).
   • 1.2. „Android (gr. andro- von αvδρoʗ = Mann - griechisch: menschenförmig) ist die Bezeichnung für einen Roboter, der einem Menschen ... ähnlich sieht und sich menschenähnlich verhält.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Android).
     • 1.2.1. „Unter einem Android werden bezeichnet:“
     • 1.2.1.1. „ein Roboter (ein mechanisches Wesen), der einem Menschen ähnlich sieht und sich menschenähnlich verhält;“
     • 1.2.1.2. „ein Cyborg (teilweise ein mechanisches Wesen oder teilweise ein organisches Wesen), der einem Menschen ähnlich sieht und sich menschenähnlich verhält;“
     • 1.2.1.3. „ein künstliches Wesen, jedoch vornehmlich organisch, der einem Menschen ähnlich sieht und sich menschenähnlich verhält.“
2. 2. Cyborg:
   • 2.1. „Cyborg ['saibo:g; Kw. aus engl. cybernetic organism >kybernetisches Lebewesen<] der, -s/-s, in der Futurologie Bez. für einen Menschen, in dessen Körper techn. Geräte als Ersatz zur Unterstützung nicht ausreichend leistungsfähiger Organe (z.B. für lange Raumflüge) integriert sind“ (die Brockhaus-Enzyklopädie: in 24 Bd. - 19., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1988, ISBN 3-7653-1105-7/3-7653-1205-3; Seite 67).
   • 2.2. „Der Begriff Cyborg bezeichnet einen“ „portmanteau of cybernetic organism“, „der aus biologischen und künstlichen Teilen besteht. Der Cyborg ist ein Mischwesen zwischen lebendigem Organismus und Maschine.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Cyborg):
     • 2.2.1. „Generell, das Ziel ist erzeugen, wiederaufbauen, verbessern, hinzufügen die Fähigkeit von dem menschlichen Organismus bei Verwendung der Technology.“
     • 2.2.2. „Isaak Asimov untersuchte in seiner Kurzstory“ „The Bicentennial Man“ „die Konzepte von Kybernetik. Seine Untersuchungen führten zum Durchbruch in der menschlichen Medizin mittels der künstlichen Organe und Prothesen.“ (Ein „künstliches ... Gehirn“ war in der Story auch dargestellt).
     • 2.2.3. „Der Begriff Cyborg wird benutzt um einen Mann oder eine Frau mit bionischen oder mechanischen Implantaten zu bezeichnen.“
3. 3. Starke Künstliche Intelligenz:
   • 3.1. „Im Verständnis des Begriffs Künstliche Intelligenz spiegelt sich oft die aus der Aufklärung stammende Vorstellung vom Menschen als Maschine wieder, dessen Nachahmung sich die sogenannte starke Künstlicher Intelligenz zum Ziel setzt: eine Intelligenz zu erschaffen, die wie der Mensch nachdenken und Probleme lösen kann...“;
   • 3.2. „...gemäß starker KI, der Computer ist nicht lediglich ein Tool um den Verstand zu studieren, sondern ein entsprechend programmierter Computer ist wirklich ein Verstand...‟ „(J. Searle in Minds, Brains and Programs. The Behavioral and Brain Sciences, vol. 3, 1980)“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/strong_Al).
4. 4. „Der Verstand ist der übliche Begriff, der meistens verwendet wird, um die höheren Funktionalitäten des menschlichen Gehirnes zu beschreiben.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Mind).
5. 5. „In der Psychologie... sind zwei ... Reize (in den Reiz-Reaktion Reflexen) assoziiert, wenn der Erfahrungswert von einem zu den Effekten von dem anderem führt... Das wird manchmal als Pawlows Assoziation („Pavlovian association“) genannt.‟ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Association-%28psychology%29).
6. 6. Gedanke:
   • 6.1. „Ein Gedanke ist ein unmittelbares Sinngebilde des Denkens.... bezeichnet der Gedanke ein Ergebnis, Produkt des Denkprozesses...“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Gedanke).
   • 6.2. „Der Gedanke ist ein Synonym für eine Idee.“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Thought_(disambiguation)).
7. 7. Abstraktes Denken:
   • 7.1. „abstraktes Denken, Denkprozess, durch den sich losgelöst (abstrahiert) von komplexen Sachverhalten bestimmte Aspekte verallgemeinern lassen“ (Das Lexikon „Lexikon der Psychologie“: in 5 Bd., Editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Bd. 1. A to E, ISBN 3-8274-0312-X; Seite 9).
   • 7.2. „Abstraktion die, -/-en, Denkvorgang bei der Bildung von Begriffen und Gesetzen, gekennzeichnet durch das stufenweise Heraussondern bestimmter Merkmale in der Absicht, das Gleichgebliebene und Wesentliche versch. Gegenstände zu erkennen; auch das Ergebnis des A.-Prozesses. Bei der generalisierenden A. werden die relevanten gemeinsamen Merkmale versch. Gegenstände oder Klassen herausgehoben, wobei von den unwesentlichen, sich unterscheidenden abgesehen wird“ (die Brockhaus-Enzyklopädie in 24 Bd. - 20., völlig neubearb. Auflage, F.A. Brockhaus GmbH, Mannheim 1996, Bd. 1. A-AP, ISBN 3-7653-3100-7/3-7653-3101-5; Seite 84).
   • 7.3. „Abstraktion, auf zufällige Einzelheiten verzichtende, begrifflich zusammengefaßte Darstellung; Vorgang und Ergebnis des Auswählens eines ganz bestimmten Aspekts eines komplexen Sachverhaltes, um diesen zu klassifizieren, zu bewerten und zu verallgemeinern“ (Das Lexikon „Lexikon der Psychologie“: in 5 Bd., Editor: Gerd Wenninger - Heidelberg; Berlin: Spektrum, Akademischer Verlag GmbH, Heidelberg 2000, Bd. 1. A to E, ISBN 3-8274-0312-X; Seite 9).
   • 7.4. „Abstraction is the process or result of generalization by reducing the information content of a concept or an observable phenomenon, typically in order to retain only information which is relevant for a particular purpose. For example, abstracting a leather soccer ball to a ball retains only the information on general ball attributes and behaviour.“--Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Abstract_thinking).
8. 8. Abstraktionsvermögen:
   • 8.1. „Abstraktionsvermögen → ...: das; -s; - (geistige) Fähigkeit, aus dem Besonderen etw. Allgemeines abzuleiten“ (Das Wörterbuch „Deutsches Wörter-Buch“; Karl-Dieter Bünting, Isis Verlag AG, 1996, Chur/Schweiz, Seite 38).
9. 9. „Telepathie (von griechisch τέλη, tele, „fern“ und πάθεlα patheia, „Empfindung“ oder „Empfänglichkeit“) bezeichnet die Fähigkeit, Information von einem Menschen zu einem anderen Menschen ... zu übertragen‟. „Der deutsche Begriff für Telepathie ist Gedankenübertragung“ - Wikipedia, the free encyclopedia (http://de.wikipedia.org/wikilTelepathie).
10. 10. „Das meistens populäre und entwickelte Modell von OOP ist ein Klassen-basiertes Modell... In diesem Model sind Objekte die“ „Entities“, die der Zustand (d.h. die Daten), das Verhalten (d.h. die Prozeduren oder die Methoden) und die Identität (d.h. die eindeutige Existenz zwischen allen anderen Objekten) zusammenfassen. Die Struktur und das Verhältnis von einem Objekt sind bei einer Klasse definiert, die eine Definition oder ein Instanziierung- und Initialisierungsplan von allen Objekten von einem spezifischen Typ ist...‟ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Class-based_OOP).
11. 11. Zeiger:
    • 11.1. „Ein Zeiger oder Pointer bezeichnet in der Informatik eine spezielle Klasse von Variablen, die auf einen anderen Speicherbereich oder diese Variablen selbst verweisen... Der referenzierte Speicherbereich enthält entweder Daten (Objekt, Variable) oder Programmcode.“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Zeiger).
    • 11.2. „In C und C++ sind Zeiger Variablen, die Adressen (von einem Speicherbereich) speichern und NULL (der NULL-Zeiger speichert die Adresse von einem NULL-Objekt, bzw. wird auf nichts verwiesen) sein können. Ein Zeiger ist eine einfache Implementierung von der generellen Referenz ...(obwohl das vollkommen unterschiedlich von der Begriffsbezeichnung ist, die als eine Referenz in C++ bezeichnet wurde).“ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Pointer).
    • 11.3. „Ein Zeiger ist eine Variable, die eine Speicheradresse enthält.“ „Die folgenden drei Dinge muß man sicher auseinanderhalten können, um Probleme mit Zeigern zu vermeiden:
      • -- den Zeiger selbst,
      • -- die im Zeiger gespeicherte Adresse,
      • -- den Wert an der im Zeiger gespeicherten Adresse."
      (das Buch „C++ in 21 Tagen", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: "Teach Yourself C++ in 21 Days" © 1999 by SAMS Publishing; Seiten 252, 257).
12. 12. Referenz:
    • 12.1. „Eine Referenz repräsentiert einen Verweis auf ein Objekt....stellt eine Referenz damit einen Alias-Namen für eine Entität dar...“ - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Referenz_%28Programmierung%29).
    • 12.2. „Eine Referenz ist ein Alias-Name. Wenn man eine Referenz erzeugt, initialisiert man sie mit dem Namen eines anderen Objektes, dem Ziel. Von diesem Moment an ist die Referenz wie ein alternativer Name für das Ziel, und alles, was man mit der Referenz anstellt, bezieht sich tatsächlich auf das Ziel“ (das Buch „C++ in 21 Tagen“, Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: „Teach Yourself C++ in 21 Days“ © 1999 by SAMS Publishing; Seite 290).
13. 13. Objekt:
    • 13.1. „Mit dem Schlüsselwort new erzeugt man neue Objekte auf dem Heap“ (der Freispeicher, der dynamische Speicher). „Die von new zurückgegebene Adresse“ (von dem Speicherbereich) „legt man in einem Zeiger ab“ (das Buch „C++ in 21 Tagen“, Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, die Autorisierte Übersetzung der amerikanischen Originalausgabe: „Teach Yourself C++ in 21 Days“ © 1999 by SAMS Publishing; Seiten 263, 264, 267, 285).
    • 13.2. „Der Operator new erzeugt solche Objekte, und der Operator delete kann benutzt werden, um sie zu zerstören. Objekte, die durch new angelegt wurden, werden als >>im Freispeicher<< befindlich bezeichnet (und auch als >>Heap-Objekte<< oder >>im dynamischen Speicher angelegt<<)“ (das Buch „Die C++-Programmiersprache“; 3. Auflage; Bjarne Stroustrup (der Erfinder von C++); Addison Wesley Longman Verlag; 1998; ISBN 3-8273-1296-5; Seite 136).
14. 14. Datenbanktabelle als ein Array von Zeiger:
    • „Da das erstellte Formular der Beispielanwendung Informationen zu einer Person enthält, bietet es sich an, die neue Klasse CPerson zu nennen. Damit Sie die Klasse im Objektarray speichern können, müssen Sie die Klasse von CObject als Basisklasse ableiten.“
    • „Nach der gleichen Logik,..., nehmen Sie in der heutigen Beispielanwendung einen neuen Personendatensatz in das Objektarray der Dokumentklasse auf. Nachdem Sie einen neuen Datensatz hinzugefügt haben, können Sie einen Zeiger darauf zurückgeben, so daß die Ansichtsklasse direkt die Variablen im Datensatzobjekt aktualisieren kann.“
    • „Sobald der neue Datensatz hinzugefügt ist, setzen Sie den aktuellen Datensatzzeiger auf den neuen Datensatz im Array. Auf diese Weise läßt sich die aktuelle Datensatznummer leicht anhand des Positionszählers bestimmen.“
    • „For your sample application, because the form that you created has information about a person, you might want to call your class something like CPerson. To be able to hold your class in the object array, you need to give it CObject as the base class.“
    • „Following the same logic ..., you should add a new person record to the object array in your document class in today's sample application. Once you add a new record, you can return a pointer to the new record so that the view class can directly update the variables in the record object.“
    • „Once the new record is added, you will want to set the current record position marker to the new record in the array. This way, the current record number can be easily determined by checking the position counter.“
    • (Visual C++ 6 in 21 Tagen, Davis Chapman, Deutsche Übersetzung: Frank Langenau, 1998 by SAMS, Markt&Technik Buch- und Software-Verlag GmbH, ISBN: 3-8272-2035-1, Seiten 325, 333; Sams Teach Yourself Visual C++ ® 6 in 21 Days, Copyright © 1998 by Sams Publishing, ISBN: 0-672-31240-9, Seiten 288, 295, 296).

Certain terms need to be defined to describe the current invention. These terms and their definitions are:

1. 1.Android:
   • 1.1. "Android der, -en/-en, Androide der, -n/-n an → automaton in human form capable of certain activities" (the Brockhaus encyclopedia: in 24 vols. - 19th, completely revised edition, FA Brockhaus GmbH , Mannheim 1986, ISBN 3-7653-1101-4/3-7653-1201-0; page 562).
   • 1.2. "Android (gr. andro- from αvδρoʗ = man - Greek: human-shaped) is the name for a robot that looks and behaves like a human." - Wikipedia, the free encyclopedia.htm (http:// en.wikipedia.org/wiki/Android).
     • 1.2.1. "Under an android are denoted:"
     • 1.2.1.1. "a robot (mechanical being) that looks and behaves like a human;"
     • 1.2.1.2. "a cyborg (part mechanical being or part organic being) who looks and acts like a human;"
     • 1.2.1.3. "an artificial being, but primarily organic, that looks and behaves like a human."
2. 2. Cyborg:
   • 2.1. "Cyborg ['saibo:g; Kw. from English cybernetic organism >cybernetic creature<] der, -s/-s, in futurology ref. for a human being in whose body techn. Devices are integrated as a replacement to support organs that are not sufficiently efficient (e.g. for long space flights)" (the Brockhaus encyclopedia: in 24 vols. - 19th, completely revised edition, FA Brockhaus GmbH, Mannheim 1988, ISBN 3-7653-1105 -7/3-7653-1205-3; page 67).
   • 2.2. "The term cyborg denotes a""portmanteau of cybernetic organism""consisting of biological and artificial parts. The cyborg is a hybrid between a living organism and a machine.” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Cyborg):
     • 2.2.1. "In general, the goal is to create, rebuild, improve, add the ability of the human organism using the technology."
     • 2.2.2. Isaak Asimov explored the concepts of cybernetics in his short story The Bicentennial Man. His investigations led to the breakthrough in human medicine using artificial organs and prostheses.” (An “artificial...brain” was also featured in the story).
     • 2.2.3. "The term cyborg is used to describe a man or woman with bionic or mechanical implants."
3. 3. Strong Artificial Intelligence:
   • 3.1. "The understanding of the term artificial intelligence often reflects the Enlightenment idea of man as a machine, the imitation of which is the goal of so-called strong artificial intelligence: to create an intelligence that can think and solve problems like humans. .";
   • 3.2. "...according to strong AI, the computer is not just a tool for studying the mind, but a suitably programmed computer is really a mind...""(J. Searle in Minds, Brains and Programs. The Behavioral and Brain Sciences, vol.3, 1980)" - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/strong_Al).
4. 4. “Mind is the common term most often used to describe the higher functionalities of the human brain describe.” - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Mind).
5. 5. "In psychology... two... stimuli are associated (in the stimulus-response reflexes) when the experience of one leads to the effects of the other... This is sometimes called Pavlovian association “).‟ - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Association-%28psychology%29).
6. 6th thought:
   • 6.1. "A thought is an immediate symbolic formation of thought.... the thought designates a result, a product of the thought process..." - Wikipedia, the free encyclopedia.htm (http://de.wikipedia.org/wiki/Gedanke).
   • 6.2. "Thought is a synonym for an idea." - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Thought_(disambiguation)).
7. 7. Abstract Thinking:
   • 7.1. "Abstract thinking, thought process through which certain aspects can be generalized detached (abstracted) from complex facts" (The lexicon "Lexicon of Psychology": in 5 vols., Editor: Gerd Wenninger - Heidelberg; Berlin: Spectrum, Akademischer Verlag GmbH, Heidelberg 2000, Vol. 1. A to E, ISBN 3-8274-0312-X; page 9).
   • 7.2. “Abstraction the, -/-en, thought process in the formation of concepts and laws, characterized by the gradual separation of certain features with the intention of recognizing what has remained the same and what is essential to different objects; also the result of the A. process. In the generalizing A., the relevant common characteristics of various objects or classes are highlighted, with the insignificant, differing ones being disregarded” (the Brockhaus encyclopedia in 24 vols. - 20th, completely revised edition, FA Brockhaus GmbH, Mannheim 1996, Vol. 1. A-AP, ISBN 3-7653-3100-7/3-7653-3101-5; page 84).
   • 7.3. “Abstraction, conceptually summarized representation that dispenses with accidental details; Process and result of selecting a very specific aspect of a complex situation in order to classify, evaluate and generalize it" (The lexicon "Lexicon of Psychology": in 5 vols., Editor: Gerd Wenninger - Heidelberg; Berlin: Spectrum, Akademischer Verlag GmbH, Heidelberg 2000, Vol. 1. A to E, ISBN 3-8274-0312-X; page 9).
   • 7.4. "Abstraction is the process or result of generalization by reducing the information content of a concept or an observable phenomenon, typically in order to retain only information which is relevant for a particular purpose. For example, abstracting a leather soccer ball to a ball retains only the information on general ball attributes and behavior."--Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Abstract_thinking).
8. 8. Ability to abstract:
   • 8.1. “Abstract ability → ...: that; -s; - (mental) ability to derive something general from the particular” (The dictionary “German Dictionary”; Karl-Dieter Bünting, Isis Verlag AG, 1996, Chur/Switzerland, page 38).
9. 9. "Telepathy (from Greek τέλη, tele, "far away" and πάθεlα patheia, "sensation" or "receptivity") denotes the ability to transfer information from one human being to another human being...‟. "The German term for telepathy is thought transmission" - Wikipedia, the free encyclopedia (http://de.wikipedia.org/wikilTelepathie).
10. 10. "The most popular and developed model of OOP is a class-based model... In this model, objects are the""entities" representing state (ie data), behavior (ie procedures or methods) and summarize the identity (i.e. the unique existence between all other objects). The structure and relation of an object are defined in a class, which is a definition or instantiation and initialization plan of all objects of a specific type..." - Wikipedia, the free encyclopedia.htm (http://en. wikipedia.org/wiki/Class-based_OOP).
11. 11. Pointer:
    • 11.1. "In computer science, a pointer refers to a special class of variables that refer to another memory area or to these variables themselves... The referenced memory area contains either data (object, variable) or program code." - Wikipedia, the free encyclopedia. htm (http://de.wikipedia.org/wiki/Zeiger).
    • 11.2. “In C and C++, pointers are variables that store addresses (of an area of memory) and can be NULL (the NULL pointer stores the address of a NULL object, or is referenced to nothing). A pointer is a simple implementation of the general reference...(although this is entirely different from the term used to describe a reference in C++)." - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/Pointer).
    • 11.3. "A pointer is a variable that holds a memory address."
      • -- the pointer itself,
      • -- the address stored in the pointer,
      • -- the value at the address stored in the pointer."
      (the book "C++ in 21 Days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: "Teach Yourself C++ in 21 Days" © 1999 by SAMS Publishing; pages 252 , 257).
12. 12. Reference:
    • 12.1. "A reference represents a reference to an object....a reference thus represents an alias for an entity..." - Wikipedia, the free encyclopedia.htm (http://en.wikipedia.org/wiki/ Reference_%28Programming%29).
    • 12.2. "A reference is an alias name. When you create a reference, you initialize it with the name of another object, the target. From that moment on, the reference is like an alternative name for the target, and everything you do with the reference actually refers to the target" (the book "C++ in 21 Days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: "Teach Yourself C++ in 21 Days" © 1999 by SAMS Publishing; page 290).
13. 13. Object:
    • 13.1. "The keyword new creates new objects on the heap" (the heap, the dynamic memory). "The address returned by new" (of the memory area) "is stored in a pointer" (the book "C++ in 21 days", Jesse Liberty, 2000 by Markt&Technik Verlag, ISBN 3-8272-5624-0, the authorized translation of the original American edition: "Teach Yourself C++ in 21 Days" © 1999 by SAMS Publishing; pages 263, 264, 267, 285).
    • 13.2. “The new operator creates such objects, and the delete operator can be used to destroy them. Objects created by new are said to be 'in heap' (also called 'heap objects' or 'made in dynamic memory')” (the book The C++ Programming Language; 3rd edition; Bjarne Stroustrup (the inventor of C++); Addison Wesley Longman Verlag; 1998; ISBN 3-8273-1296-5; page 136).
14. 14. Database table as an array of pointers:
    • “Because the sample application's created form contains information about a person, it makes sense to name the new class CPerson. In order to store the class in the object array, you must derive the class from CObject as the base class."
    • "Following the same logic,... in today's sample application, add a new person record to the object array of the document class. After adding a new record, you can return a pointer to it so that the view class can directly update the variables in the record object."
    • "Once the new record is added, set the current record pointer to the new record in the array. In this way, the current record number can be easily determined from the position counter.”
    • "For your sample application, because the form that you created has information about a person, you might want to call your class something like CPerson. To be able to hold your class in the object array, you need to give it CObject as the base class."
    • "Following the same logic ..., you should add a new person record to the object array in your document class in today's sample application. Once you add a new record, you can return a pointer to the new record so that the view class can directly update the variables in the record object."
    • "Once the new record is added, you will want to set the current record position marker to the new record in the array. This way, the current record number can be easily determined by checking the position counter."
    • (Visual C++ 6 in 21 days, Davis Chapman, German translation: Frank Langenau, 1998 by SAMS, Markt&Technik Buch- und Software-Verlag GmbH, ISBN: 3-8272-2035-1, pages 325, 333; Sams Teach Yourself Visual C++ ® 6 in 21 Days, Copyright © 1998 by Sams Publishing, ISBN: 0-672-31240-9, pages 288, 295, 296).

The present invention is covered by my United States Patent, Patent U.S. 8,271,411 , and protected by my State of Israel Patent IL 175533. This invention, like my inventions “A computer system and a working method of this computer system of artificial intelligence from a cyborg or an android”, patent application DE 10 2005 050 579.1 , patent application U.S. 11/355,287 and my State of Israel patent, Patent IL 174910, and "A Pointer-Oriented Object Detection Method for Abstract Manipulation of Information from a Computer System of Artificial Intelligence from a Cyborg or an Android Based on a Natural Language", patent application DE 10 2006 052 141.2-53 , my United States patent, patent U.S. 7,672,922 , and my State of Israel patent, Patent IL 182773, is based on one of my scientific discoveries, or my theory of subjectivity, on the subject "Human Intelligence, Natural Intelligence, the Functionality of Human (Natural) Intelligence".

The three inventions make possible either the transformation of a humanoid robot into an android or the transformation of a human into a cyborg with the artificial part - the artificial intelligence.

1. 1. Cyborg (Android) - Hardwareentwicklung;
2. 2. Cyborg (Android) - Softwareentwicklung;
3. 3. Cyborg (Android) - Herstellung;
4. 4. Cyborg (Android) - Erziehung;
5. 5. Cyborg (Android) - Unterricht;
6. 6. Mensch (Cyborg (Android)) - Medizin;
7. 7. Mensch (Cyborg (Android)) - Verbrechensbekämpfung;
8. 8. Mensch (Cyborg (Android)) - Kampf gegen Terrorismus...

Behind this invention is an enormously huge job potential, which consists of thousands of highly qualified, highly motivating, high-quality jobs in various industries. For example:

1. 1. Cyborg (Android) - hardware development;
2. 2. Cyborg (Android) - software development;
3. 3. Cyborg (Android) - crafting;
4. 4. Cyborg (Android) - upbringing;
5. 5. Cyborg (Android) - lessons;
6. 6. Human (Cyborg (Android)) - Medicine;
7. 7. Human (Cyborg (Android)) - crime fighting;
8. 8. Human (Cyborg (Android)) - fight against terrorism...

Another strategic or political use, also negative, if the negative internal guidelines of abstract subjectivity are used, cannot be ruled out, e.g. a cyborg assassin. You should expect this and plan any protective measures in advance.

1. 1. ein Arbeitsverfahren zu realisieren, bei dem das Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android von innen getrieben wird, auf jedes einkommende abstrakte Objekt zu reagieren;
2. 2. ein Arbeitsverfahren zu realisieren, bei dem von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android entschieden wird, ob das einkommende abstrakte Objekt behandelt wird;
3. 3. ein Arbeitsverfahren zu realisieren, bei dem von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android entschieden wird, wie das Computersystem das einkommende abstrakte Objekt behandeln wird;
4. 4. zu beweisen, dass starke Künstliche Intelligenz keine Illusion, sondern Realität ist;
5. 5. die starke Künstliche Intelligenz positiv, menschenfreundlich und friedlich weiterzuentwickeln, sowie die Schutzmaßnahmen für eine negative Entwicklung vorauszuplanen.

The invention is based on the problem:

1. 1. to realize a working method where the computer system of artificial intelligence is driven by the cyborg or the android from inside to react to every incoming abstract object;
2. 2. to realize a working method in which the computer system of artificial intelligence decides from the cyborg or the android whether to handle the incoming abstract object;
3. 3. to realize a working method in which it is decided by the computer system of artificial intelligence from the cyborg or the android how the computer system will handle the incoming abstract object;
4. 4. to prove that strong artificial intelligence is not an illusion but reality;
5. 5. to develop the strong artificial intelligence in a positive, humane and peaceful way, as well as to plan the protective measures for a negative development.

The solution according to the invention for the category mentioned consists in that an abstract object that has arrived is compared in a permanent loop process with internal guidelines of an abstract subjectivity. The loop method can be implemented as a loop, a thread, an application or a hardware component, for example a microcontroller or another chip. In the working procedure for processing abstract objects (thought-substances) by the computer system of artificial intelligence of the cyborg or the android, the abstract objects, or classes of abstract objects, are processed by the computer system in a non-continuous processing mode, that is, processed discretely for each abstract object, for each class. The handling mode is a mode in which the computer system handles each abstract object (each thought-substance) or each class of the abstract objects. The internal guidelines of the abstract subjectivity of the computer system of artificial intelligence of the cyborg or the android are of course also the abstract objects as they can be defined by the computer system itself, eg as a result of a communication with the bearers of the internal guidelines. If the abstract object that has arrived agrees in an equivalence test with a group of internal guidelines or with the objects that are derived from the group's guidelines, it is treated accordingly. If it doesn't match, the equivalence test of the arrived abstract object will take place with another set of internal policies. If this does not match again, then the next equivalence test comes into question. And so on to the end of the policy groups. Of course, a "default" branch, eg with "do nothing", can also be provided. The next loop pass comes either with a timeout or as a response to a message that a new abstract object is entered is hit. As a result, the computer system is driven by the artificial intelligence of the cyborg or the android from within to react to every abstract object that arrives.

• Das Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android verfügt über die Klasse „Fragen“ sowie mindestens eine aufgenommene Signal-Reaktion, eine entsprechende Assoziation und einen entsprechenden Gedanken, die ein Objekt von der Klasse „Fragen“ unter anderen Objekten beinhalten, zum Beispiel:
  • „Darf ich dich fragen, wer du bist?“
  • „Was für ein Buch liest du?“ („Antworte mir, was für ein Buch du liest?“, wurde genauer gemeint.) „Wann gehst du einkaufen?“ („Ich möchte dich fragen, wann du einkaufen gehst?“, wurde genauer gemeint.)

The equivalence test can be performed in the following way:

• The computer system of artificial intelligence of the cyborg or the android has the class "Questions" as well as at least one recorded signal reaction, a corresponding association and a corresponding thought, which include an object from the class "Questions" among other objects, for example :
  • "May I ask who you are?"
  • “What book are you reading?” (“Answer me what book are you reading?” was more specific.) “When are you going shopping?” (“I want to ask you when you are going shopping?” was asked more precisely meant.)

A decision as to whether the abstract object contains a question is generally made by the computer system of artificial intelligence from the cyborg or the android after analyzing the corresponding associative object, e.g. a sentence order, an intonation, a question mark.

The cyborg's or the android's artificial intelligence computing system has the Responses class and at least one recorded signal reaction, corresponding association, and corresponding thought, which includes an object from the Responses class among other objects.

"I would answer that I am an android."

"I'm reading this book." ("I'd like to answer you that I'm reading this book", was meant more precisely.)

"I'm going to go shopping in a moment." ("I tell you that I'm going to go shopping in a moment", was meant more precisely.)

A decision as to whether the abstract object contains an answer is generally made by the computer system of artificial intelligence from the cyborg or the android after analyzing the corresponding associative object, e.g. a sentence order, an intonation, a period (punctuation mark).

The equivalence test of the incoming abstract object containing a question (a questioning scenario), or an object "Ask.from.whom", with an internal policy group containing as a policy an object "Love.whom" of class "Love" includes, becomes an equivalence test of the incoming abstract object with the object "Help.whom" of the class "Help", (because the class "Help" in the classification tree of the computer system of artificial intelligence of the cyborg or the android of the class "loving" is derived), redirected. Further, this equivalence test becomes an equivalence test of the incoming abstract object with the object "Communicate.with.whom" of the class "Communicate" (because the class "Communicate" in the classification tree of the computer system of artificial intelligence of the cyborg or the android of the Class "Help" derived), redirected. The equivalence test has been passed if, for example, the "Questions" class is derived from the "Communicate" class and the attribute value of "from.whom" is the same as the attribute value of "with.whom", or the attribute value of "from. who" is derived from the attribute value of "with.whom". If the equivalence test of the object "Ask.from.whom" with the object "Communicate.with.whom" has passed and if all other policies in the policy group match the incoming abstract object, this will result in a treatment scenario. The handling scenario is a scenario in which the computer system will continue to handle an abstract object (thought-substance) if and after the abstract object's equivalence test with the internal guidelines has passed. For example, the abstract object (the thought-substance) containing a question is handled by the computer system in a questioning scenario. So the computer system of artificial intelligence will decide from the cyborg or the android whether to treat an abstract object and how to treat the abstract object within the treatment scenario, e.g. positive, kind, precise, detailed, etc. The equivalence test has failed if the internal policy groups have no corresponding policy (or corresponding abstract object stored in the corresponding policy) or no class of a corresponding policy (or of the corresponding abstract object of the corresponding guideline) is defined. If the equivalence test is not passed, this will lead to a "default" treatment scenario with, for example, "do nothing". However, a “do nothing” treatment scenario is also a treatment scenario. If the equivalence test has not been passed and no "default" treatment scenario is provided, the abstract object is not treated at all. In doing so, it must be taken into account that regardless of whether an abstract object that has arrived is scenario is processed further, or whether it is not processed further at all, an equivalence test of the abstract object that has arrived always takes place with the internal guidelines.

A type of treatment is determined from the functional polymorphism of the computer system of artificial intelligence of the cyborg or the android. A treatment type is a way of deciding which outgoing treatment scenario the computer system will use to respond to an incoming treatment scenario. A treatment type is a type of behavior, e.g. the treatment type that responds with an answering scenario to a questioning scenario. The common attribute do = "communicate" comes into question. The result is an answer scenario, or an object "Answer.whom". However, an answering scenario can also be provided directly for the questioning scenario, e.g.: "Answer me how to cook this soup?" A directly provided treatment type is implemented here. In this way, the artificial intelligence computer system decides on the treatment type from the cyborg or the android, in which it is decided with which outgoing treatment scenario the computer system reacts to an incoming treatment scenario.

If the treatment mode has been determined from the function polymorphism, the polymorphic attribute will tun = "Communicate", or the abstract object "Communicate.with.whom", in the same way as the equivalence test of the incoming abstract object, using the classification tree of the Computer system of artificial intelligence from the cyborg or the android checked in an equivalence test whether the object "Communicate.with.who" matches an internal policy group.

After that, the decision about an outgoing abstract object "Answer whom" is checked in the same way as the equivalence test of the incoming abstract object, with the help of the classification tree of the computer system of artificial intelligence by the cyborg or the android in an equivalence test, whether the answer- Scenario, or the Responses.whom object, matches an internal policy group.

After a positive result of the equivalence test, the decision about an outgoing abstract object "Answers.whom" is then passed on by the computer system of artificial intelligence from the cyborg or the android to the cyborg or the android.

The treatment scenarios, like the questioning scenario, the answering scenario, etc., are not about, for example, finding a correct answer to a question, but the treatment scenarios are about the cyborg or the Android a positive, kind, concise, detailed, etc. treatment scenario, e.g. a question scenario, an answer scenario, a request scenario, an execute scenario, a command scenario, a statement scenario, a note scenario , teaching a thinking scenario, etc., or teaching the cyborg or the android a correct, allowed, decent, cultural/educated way of treatment, in which it is decided with which outgoing treatment scenario the computer system reacts to an incoming treatment scenario, to mediate.

The handling type of the incoming abstract object that contains a request leads to an execute scenario according to the same logic in handling.

The way of handling the incoming abstract object that contains a command leads to an execute scenario according to the same logic in handling.

The treatment of the incoming abstract object that contains a statement leads to a note scenario according to the same logic in the treatment.
Etc...

An abstract object can of course also be initiated internally by the cyborg or the android itself, e.g. in a thinking scenario.

An implementation of a signal-reaction, an association and a thought as physical objects, or as individual physical memory areas of a working memory of a computer system of artificial intelligence from a cyborg or an android, as well as an implementation of a connection of these objects to each other only through a natural language enables, among other things, to locate, model, reproduce and fix at least the following errors in reasoning of the computer system of artificial intelligence of the cyborg or the android.

A first example is a signal-reaction error, or an error in which a signal-reaction provides incorrect information, or the signal-reaction contains incorrect information, e.g.: "Sea water is sugar-sweet."

• „Der Lastkraftwagen ist so schnell, dass man damit in Formel 1 Rennen teilnehmen kann und Platz für zwei Personen hat“, oder
• „Das Geschichtsbuch der Antike ist in der Schriftart Arial geschrieben.“

Another example is an association error, or an error where an association from the second-rate information of the signal-reaction is occupied and thus the first-rate information of the signal-reaction is forgotten. (The thought then refers to the wrong association.) For example:

• "The truck is so fast that you can take part in Formula 1 races with it and have room for two people," or
• "The history book of antiquity is written in Arial font."

The next error is a thought error, or an error after a thinking process, when wrong references are used in thinking, i.e. references to wrong associations, e.g.: a "folk wisdom of Kozma Prutkov" from Russian: "When in the zoo on the tiger's cage the buffalo is signposted, don't believe your eyes” is a thought error. An association error would be: "If the buffalo is signposted on the tiger's cage in the zoo, do not believe the sign on the cage." The real meaning of this statement without error would be: "If the buffalo is signposted on the tiger's cage in the zoo, or there is a tiger in the buffalo cage, please do not come too close to the cage.”

Another error is a connection error, or the error that arises when the signal-response, association, and thought are incorrectly connected, e.g. when a corresponding association cannot be parsed into a corresponding thought, or when the corresponding thought has a corresponding association is not found. (The thought internally initiated by the cyborg or the android itself, e.g. in a thinking scenario, may also have no corresponding association.)

Such fault localization can be used in the following ways against complicated mental diseases, brain diseases, diseases of the central nervous system, etc.

When taking countermeasures against such a disease, e.g. Alzheimer's disease, one can model the signal reactions of a concrete sick person on the computer system of artificial intelligence of the cyborg or the android. You can localize and reproduce a signal-reaction error. For these modeled signal-reactions, or against the signal-reaction errors, one can develop special drugs and special medical treatment.

Furthermore, one can model the associations of the specific sick person on the computer system of artificial intelligence of the cyborg or the android. An association error can be localized and reproduced. Special medication and special medical treatment can be developed for these modeled associations, or against the association errors.

Furthermore, one can model the thoughts of the concrete sick person on the computer system of artificial intelligence of the cyborg or the android. You can localize and reproduce a thought error. Special medication and special medical treatment can be developed for these modeled thoughts, or against the thought errors.

And besides, you can model the interaction of the concrete signal-reaction, the concrete association and the concrete thought of a concrete sick person on the computer system of artificial intelligence of the cyborg or the android. If necessary, one can localize and reproduce a connection error of the signal-reaction, the association and the thought. Special medicines and special medical treatment can be developed for the modeled interaction of the specific signal reaction, the specific association and the specific thought, or against possible connection errors. One can also, for example, model and test the patient's behavior for several contradictory and simultaneous associations, such as the behavior triggered by simultaneously looking at the door with the sign "No entry" and hearing "Come through the room", whether the right priorities were set, etc.

(Due to its central importance, this is repeated.)

Another strategic or political use, also negative, if the negative internal guidelines of abstract subjectivity, abbreviated guidelines, no guidelines at all or incorrect guidelines are used, cannot be ruled out, e.g. a cyborg assassin. You should always expect this and plan any protective measures in advance.

Further details, features and advantages result from the following description of the exemplary embodiments illustrated in the drawing and the dependent claims.

• 1 Arbeitsverfahren für Behandlung von abstrakten Objekten (Gedanke-Substanzen) von einem Computersystem von Künstlicher Intelligenz von einem Cyborg oder einem Android.
• 2 Hardwareeinsatzdiagramm von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android.
• 3 Auszug aus einem Klassifizierungsbaum des Computersystems von Künstlicher Intelligenz von dem Cyborg oder dem Android.
• 4 Auszug aus einer Funktionspolymorphie des Computersystems von Künstlicher Intelligenz von dem Cyborg oder dem Android.
• 5 Beispiele von internen Richtlinien einer abstrakten Subjektivität von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android.
• 6 Beispiel meiner subjektiven Erfassung der internen Richtlinie Nr. 1 der abstrakten Subjektivität von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android. Es kann auch ein Denkfehler sein.
• 7 Beispiel einer Verwendung des Arbeitsverfahrens für die Behandlung von den abstrakten Objekten (den Gedanke-Substanzen) von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android für ein zeigerorientiertes Objekterfassungsverfahren für stofflich artige Behandlung von Informationen von diesem Computersystem.
• 8 Arbeitsverfahren für ein Zusammenbauen der entsprechenden Assoziation des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android (des assoziativen Objektes) und die Verfahren für das assoziative Erfassen des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android und für das Aufräumen der entsprechenden Assoziationen des Computersystems von der Künstlichen Intelligenz von dem Cyborg oder dem Android.

Show it:

• 1 Working procedure for handling of abstract objects (thought-substances) by a computer system of artificial intelligence from a cyborg or an android.
• 2 Hardware deployment diagram of the computer system of artificial intelligence of the cyborg or the android.
• 3 Extract from a classification tree of the computer system of artificial intelligence from the cyborg or the android.
• 4 Extract from a functional polymorphism of the computer system of artificial intelligence of the cyborg or the android.
• 5 Examples of internal guidelines of an abstract subjectivity of the computer system of artificial intelligence of the cyborg or the android.
• 6 Example of my subjective acquisition of the internal guideline #1 of the abstract subjectivity of the computer system of artificial intelligence from the cyborg or the android. It can also be a misconception.
• 7 Example of using the working method for the treatment of the abstract objects (the thought-substances) by the computer system of artificial intelligence from the cyborg or the android for a pointer-oriented object detection method for material-like treatment of information from this computer system.
• 8th Working methods for assembling the corresponding association of the computer system of the artificial intelligence of the cyborg or the android (the associative object) and the methods for associatively capturing the computer system of the artificial intelligence of the cyborg or the android and for cleaning up the corresponding associations of the computer system of the artificial intelligence of the cyborg or the android.

In the 1 of the drawings the working procedure for the treatment of the abstract objects (the thought-substances) by the computer system of artificial intelligence of the cyborg or the android is represented. In a permanent loop process, the abstract object that has arrived is compared with the internal guidelines of abstract subjectivity. The loop method can be implemented as a loop, a thread, an application or a hardware component, for example a microcontroller or another chip. In the process of processing abstract objects (thought-substances) by the computer system of artificial intelligence of the cyborg or the android, the computer system processes the abstract objects, or classes of abstract objects, in a non-continuous processing mode, that is, processed discretely for each abstract object or for each class. The handling mode is a mode in which the computer system handles each abstract object (each thought-substance) or each class of the abstract objects. The internal guidelines of the abstract subjectivity of the computer system of artificial intelligence of the cyborg or the android are of course also the abstract objects. The internal policies can be defined by the computer system itself, eg as a result of a communication with the bearers of the internal policies. If the abstract object that has arrived agrees in an equivalence test with a group of internal guidelines or with the objects that are derived from the group's guidelines, it is treated accordingly. If it doesn't match, the equivalence test of the arrived abstract object will take place with another set of internal policies. If this does not match again, then the next equivalence test comes into question. And so on to the end of the policy groups. Of course, a "default" branch, eg with "do nothing", can also be provided. The next loop pass comes either with a timeout or as a reaction to a message that a new abstract object has arrived. As a result, the computer system is driven by the artificial intelligence of the cyborg or the android from within to react to every abstract object that arrives.

In the 2 In the drawings, the hardware deployment diagram of the artificial intelligence computer system of the cyborg or the android is shown. On a hardware assembly node 1 of the artificial intelligence computer system of the cyborg or the android, a hardware assembly node 2 of an associative subjectivity 4 and a hardware assembly node 3 of an abstract subjectivity 5 are installed. The hardware assembly nodes are implemented as different computers for test and demo purposes. The peripheral devices as well as the microcontrollers or the other chips will be used for production.

According to 3 of the drawings, the extract from the classification tree of the computer system of artificial intelligence is depicted by the cyborg or the android. (The classification tree is represented by the classification tree of the anonymous objects to emphasize the values of the attributes).

• „Darf ich dich bitten, mir meine Zeitung vorlesen.“
• „Kannst du bitte das Fenster öffnen?“ („Ich bitte dich, öffne das Fenster“, wurde genauer gemeint.) „Räum bitte mein Zimmer auf.“ („Ich bitte dich, räum mein Zimmer auf, wurde genauer gemeint.) Eine Entscheidung, ob das abstrakte Objekt eine Bitte beinhaltet, wird von dem Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android aber generell nach dem Analysieren des entsprechenden assoziativen Objektes getroffen, z.B. eine Satzstellung, eine Intonation, das im Satz enthaltene Wort „Bitte“.

The computer system of artificial intelligence of the cyborg or the android has the class "Beg" as well as at least one recorded signal reaction, a corresponding association and a corresponding thought, containing an object of class "Beg" among other objects, for example:

• "May I ask you to read my newspaper to me."
• “Can you please open the window?” (“Please, open the window”, was meant more precisely.) “Please tidy my room.” (“Please, tidy my room, was more precisely meant.) One The decision as to whether the abstract object contains a request is generally made by the computer system of artificial intelligence from the cyborg or the android after analyzing the corresponding associative object, e.g. a sentence order, an intonation, the word "please" contained in the sentence.

The computer system of artificial intelligence of the cyborg or the android has the class "Run", or at least one class derived from the class "Run", such as "Read", "Open", "Clean up", as well as at least one included signal-response, a corresponding association, and a corresponding thought involving an object from the classes among other objects.

"Can you perform reading this newspaper?"

"Open the window." ("Execute: to open the window", was meant more precisely.)

"Clean up the room." ("Show an execution: clean up the room", was meant more precisely.) A decision as to whether the abstract object involves an execution is made by the computer system of artificial intelligence of the cyborg or the android generally after the Analyzing the corresponding associative object, e.g. a sentence order, an intonation, a period (punctuation mark) or containing a corresponding signal reaction.

The equivalence test of the incoming abstract object containing a request (a request scenario), or an object "Requests.from.whom", with an internal policy group containing as a policy an object "Love.whom" of class "Love ' becomes an equivalence test of the incoming abstract object with the object 'Help.whom' of the class 'Help' (because the class 'Help' in the classification tree of the computer system of artificial intelligence of the cyborg or the android of the class ' Love" is derived), redirected. The equivalence test has been passed if, for example, the class "Ask" is derived from the class "Help" and the attribute value of "from.whom" of the object "Ask.from.whom" is the same as the attribute value of "whom" of the object "Help .who' are equivalent, or the attribute value of 'from.who' of the object 'Ask.from.whom' is derived from the attribute value of 'who' of the object 'Help.whom'. If the object "Request.from.whom" has passed the equivalence test with the object "Help.whom" and if all other policies in the policy group match the incoming abstract object, this will result in a treatment scenario. The handling scenario is a scenario in which the computer system will continue to handle an abstract object (thought-substance) if and after the abstract object's equivalence test with the internal guidelines has passed. For example, the abstract object (the thought-substance) containing a request is handled by the computer system in a request scenario. Accordingly, according to the classification tree, it is decided whether the computer system of artificial intelligence will treat the incoming abstract object, and how to treat the abstract object within the framework of the treatment scenario, e.g. positive, friendly, polite, orderly, etc. The equivalence test has failed if the internal policy groups have no corresponding policy (or no corresponding abstract object stored in the corresponding policy) or no class of a corresponding policy (or of the corresponding abstract object of the corresponding policy) is defined at all . If the equivalence test is not passed, this will lead to a "default" treatment scenario with, for example, "do nothing". However, a “do nothing” treatment scenario is also a treatment scenario. If the equivalence test has not been passed and no "default" treatment scenario is provided, the abstract object is not treated at all. It must be taken into account that regardless of whether an abstract object that has arrived is processed further within the framework of the treatment scenario, or whether it is not processed further at all, an equivalence test of the abstract object that has arrived is always carried out with the internal guidelines.

(After that it's with the in the 1 shown use of an equivalence test with internal guidelines, it has been decided to treat the abstract object, and how the abstract object has been decided to be treated within the framework of a treatment scenario according to treatment 1 (or treatment n), with the in the 4 shown use, the type of treatment selected according to the function polymorphism of the computer system of artificial intelligence of the cyborg or the android. The treatment type can be provided directly in both a question scenario and a request scenario will. The treatment type can also be directly provided in another treatment scenario, such as in a command scenario or in a statement scenario. For example, in practice, when deciding how to handle the abstract object within the handling scenario, after a reply/execute scenario, after the “thank you” “you're welcome” is additionally said or is added at the Response scenario is answered in detail, or is the treatment also carried out explicitly or exclusively in the run scenario.)

In the 4 of the drawings, the excerpt from the function polymorphism of the computer system of artificial intelligence is represented by the cyborg or the android. (The classes are represented by the anonymous objects to emphasize the values of the attributes). The type of treatment is determined from the functional polymorphism of the computer system of artificial intelligence of the cyborg or the android. A treatment type is a way of deciding which outgoing treatment scenario the computer system will use to respond to an incoming treatment scenario. A treatment type is a type of behavior. For example, the treatment type responding with an execute scenario to a request scenario. The common attribute do = "help" comes into question. The result is an execute scenario, or an object "open.whom", a class "open" derived from the class "execute". However, an execution scenario can also be provided directly for the request scenario, for example: "Please open my newspaper." A directly provided treatment type is realized with the example. In this way, the artificial intelligence computer system decides on the treatment type from the cyborg or the android, in which it is decided with which outgoing treatment scenario the computer system reacts to an incoming treatment scenario.

If the treatment type was determined from the function polymorphism, the polymorphic attribute will tun = "Help", or the abstract object "Help.whom", in the same way as the equivalence test of the incoming abstract object, using the classification tree of the computer system of Artificial intelligence checked by the cyborg or the android in an equivalence test whether the object "Help.whom" conforms to an internal policy group.

After that, the decision about an outgoing abstract object "Open.whom" is checked in the same way as the equivalence test of the incoming abstract object, with the help of the classification tree of the computer system of artificial intelligence by the cyborg or the android in an equivalence test, whether the execution scenario, or the Open.whom object, matches an internal policy group.

After a positive result of the equivalence test, the decision about the outgoing abstract object "Open.whom" is then passed on by the computer system of artificial intelligence from the cyborg or the android to the cyborg or the android.

In the 5 of the drawings are some examples of the internal guidelines of the abstract subjectivity of the computer system of artificial intelligence of the cyborg or the android. These internal policies form several internal policy groups. There may be more than ten internal guidelines used in the working procedure of the artificial intelligence computer system of the cyborg or the android.

The first thought-substance of Internal Policy #1 is an object of class Being.

In the 6 of the drawings, the example of my subjective acquisition of the internal guideline #1 of abstract subjectivity of the computer system of artificial intelligence is depicted by the cyborg or the android. It can also be a misconception.

In the 7 the drawings show an example of using the working method for the processing of abstract objects (thought-substances) by the computer system of artificial intelligence by the cyborg or the android for the pointer-oriented object detection method for the material-like processing of information from this computer system, the working method is based on a natural language.

1. 1. „Ein Roboter darf kein menschliches Wesen verletzen oder durch Untätigkeit gestatten, dass einem menschlichen Wesen Schaden zugefügt wird“.
2. 2. „Ein Roboter muss den ihm von einem Menschen gegebenen Befehlen gehorchen - es sei denn, ein solcher Befehl würde mit Regel Eins kollidieren“.
3. 3. „Ein Roboter muss seine Existenz beschützen, solange dieser Schutz nicht mit Regel Eins oder Zwei kollidiert“.

im Falle einer Entscheidung ein Kind oder ein jungen Mann zu retten, einen Fehler beging und den jungen Mann rettete.In an episode of the science fiction film I, Robot, directed by Alex Proyas, released July 16, 2004, produced by 20th Century Fox Film Corporation, based on Isaac Asimov's book of short stories of the same title, published in 1950 shown that a robot behaving according to Asimov's robotic laws, the "Three Laws of Robotics":

1. 1. “A robot shall not injure a human being or, through inaction, allow harm to be inflicted on a human being.”
2. 2. “A robot must obey orders given to it by a human—so be it for, such an order would conflict with Rule One".
3. 3. "A robot must protect its existence as long as that protection does not conflict with rule one or two."

in case of a decision to save a child or a young man, made a mistake and saved the young man.

This shows that simply using text-based rules to estimate a text could lead to a fundamental, serious, unforgivable error in the field of artificial intelligence.

In addition, the computer system of artificial intelligence of the cyborg or the android for the pointer-oriented object detection method for the material-like handling of information has at least ten internal guidelines, which are defined by the computer system itself in a way of thought pattern of the class-based model of OOP the computer system operates in its working procedure with the abstract objects, which are also classified in a way of thought pattern by the class-based model of OOP, moreover, the computer system by itself acquires the new classes from the abstract objects and assigns the new abstract objects to the already existing classes, both in a way of thinking about the class-based model of OOP.

• „Das Kind ist ein Mensch“.
• „Der junge Mann ist ein Mensch“.
• Demzufolge würde das Computersystem von Künstlicher Intelligenz von dem Cyborg oder dem Android für das zeigerorientierte Objekterfassungsverfahren für die stofflich artige Behandlung von Informationen mindestens fragen: „Wem sollte ich zuerst helfen?“

In reality, it is meant that in the example of the film "I, Robot" two abstract objects, related to the corresponding associative objects as well as to the corresponding subjective objects, of the cyborg or the android are generated by the computer system of artificial intelligence of the class "being" can be retrieved from the computer system's classification tree:

• "The child is a human being".
• "The young man is a human being".
• Accordingly, for the pointer-oriented object detection method for the material-like treatment of information, the artificial intelligence computer system of the cyborg or the android would at least ask: "Who should I help first?"

• „Ein Kind ist unsere Zukunft“,
• wird eindeutig ohne Frage, ganz gleich zu welchem Preis, und auch zum Preis seines eigenen Lebens, das Kind retten.

The full-fledged artificial intelligence computing system of the cyborg or the android, which generally receives more input volume with such associative object as, for example, a child's associative object, and also includes such information stored in its classification tree, for example, an object from the class "Being":

• "A child is our future"
• will clearly without question, at any cost, including at the cost of his own life, save the child.

In the 8th of the drawings is a working procedure for assembling the corresponding association of the computer system of the artificial intelligence of the cyborg or the android (of the associative object) and the procedures for the associative capturing of the computer system of the artificial intelligence of the cyborg or the android and for the Cleaning up the corresponding associations of the computer system represented by the artificial intelligence of the cyborg or the android.

An abstract object is built according to an associative object.

An associative object is unique according to the signal phrase (the signal_phrase), where the signal phrase refers to the sense or senses of the signal phrase. By the sense of the signal phrase is meant the sense or senses from which the signal phrase was determined, i.e. sense1, sense2, sense3, sense4, sense5 or, for example, the n -Sense6.

An associative object is built according to a subjective object (the recorded signal-response).

In a sensor response, all responses from all sensors from all sensor groups are aggregated from one sense into a single, separate signal.

The computer system's subjective object of the artificial intelligence of the cyborg or the android physically contains a combination of all sensory responses to the individual signals of at least five senses equipped with sensory organs. In the combination, the subjective object from sense1 (the visual sense) includes the sensory response to the visual sensory group signal, from the sense2 (the auditory sense) the subjective object includes the sensory response to the auditory sense sensory group signal, from the sense3 (the Sense of smell) the subjective object includes the sensor response to the signal of the olfactory sense sensor group, from the Sense4 (the sense of touch) the subjective object includes the sensor response to the signal of the sense of touch sensor group, from the Sense5 (the sense of taste) the subjective object includes the sensor -Reaction to the signal from the taste sensory array and, for example, from the n-sense6, the subjective object includes the sensory response to the signal from the n-sense sensory array. The subjective object includes as attributes the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6.

In relation to the subjective object, sense1 represents the sensor response to the visual sensory group signal, sense2 represents the sensory response to the auditory sensory group signal, sense3 represents the sensory response to the olfactory sensory group signal, sense4 represents the sensor response to the touch sensor group signal, the sense5 represents the sensor response to the taste sensor group signal, and the n-sense6 represents the sensor response to the n sense sensor group signal.

Each subjective object is unique with respect to sense1 (the sensor's response to the signal from the visual sensory array), sense2 (the sensor's response to the signal from the auditory sense sensory array), sense3 (the sensor's response to the signal from the sense of smell sensory array), the Sense4 (the sensory response to the touch sensory array signal), the Sense5 (the sensory response to the taste sensory array signal) and, for example, to the n-Sense6 (the sensory response to the n-sense sensory array signal).

When building an associative object corresponding to the subjective object, the attributes of the subjective object, the sense1, the sense2, the sense3, the sense4, the sense5 and the n-sense6 are inherited from the associative object and the associative object is added with other attributes added.

In the present invention, the uniqueness of the associative object is specified in detail.

In the computer system of the artificial intelligence of the cyborg or the android shown in the 8th of the drawings, the associative object is in realizing the uniqueness of the associative object after the signal phrase, where the signal phrase refers to the sense or more senses of the signal phrase, after the sense occupancy and the signal -Phrase unequivocal.

The associative object includes as attributes the sense1, the sense2, the sense3, the sense4, the sense5, the n-sense6, the sense-occupancy (the sense_occupancy) and the signal phrase.

The attribute of the associative object, the sense occupancy, is an interface. The sense assignment (the sense_assignment) is integrated directly into the signal phrase (the signal_phrase). The sense assignment is implemented, for example, with a prefix to the signal phrase. In the prefix in the binary system, the value at the place corresponding to the sense is set by the prefix to the value 1 if the signal phrase was detected from the sense, or to the value 0 if the signal phrase was not from the sense was determined. The prefix can be implemented in the binary system or in the decimal system with the corresponding decimal system value to the binary system value when converting from the binary number to the corresponding decimal number. Thus, an associative object (an association) with the sense assignment "111110" and the signal phrase "internal directive1918 2005.11.07 07:25:19", for example, as an associative object with either the signal phrase "011111_internal directive1918 2005.11 .07 07:25:19" or with the signal phrase ,,31_InterneGuideline1918 2005.11.07 07:25:19". In this case, the sense assignment is not treated separately as an attribute of the associative object. On the other hand, the sense assignment is integrated directly with a prefix in the signal phrase and processed by the prefix of the signal phrase.

In the 8B of the drawings, the associative object (the association) is shown with the signal phrase "03_Assoziation_1007 Friday, evening". When converting the prefix from the decimal number to the corresponding binary number, the associative object can be mapped as an associative object with the signal phrase "000011_Assoziation_1007 Friday, evening".

The associative object is processed as an associative object with the sense assignment "03" and the signal phrase "Assoziation_1007 Friday, evening". When converting the prefix from the decimal number to the corresponding binary number, the associative object is processed with the sense assignment "000011" and the signal phrase "Assoziation_1007 Friday, evening".

Consequently, this means that the associative object with the signal phrase "03_Assoziation_1007 Friday, evening" was determined by sense1 "sinn1.see" and sense2 "sinn2.hear". This also means that the associative object with the signal phrase "03_Assoziation_1007 Friday, evening" was not determined by the Sense4 "Sinn4.touch" and the Sense5 "Sinn5.taste".

In this way, it is realized that the sense assignment integrated in the signal phrase of the associative object is recognized by the computer system by the Artificial intelligence is processed by the cyborg or the android using the interface.

QUOTES INCLUDED IN DESCRIPTION

This list of documents cited by the applicant was generated automatically and is included solely for the better information of the reader. The list is not part of the German patent or utility model application. The DPMA assumes no liability for any errors or omissions.

Patent Literature Cited

• KR 2003000254 [0002]
• DE 10361726 [0002]
• US5963663A [0003]
• US20070106127A [0008]
• US5509810 [0009]
• DE 102005050579 [0013, 0021]
• US11355287 [0013]
• DE 102006052141253 [0014, 0021]
• US7672922 [0014, 0021]
• US8271411 [0021]
• US 11/355287 [0021]

Claims (12)

A working method for handling of abstract objects (thought-substances) by an artificial intelligence computer system from a cyborg or an android, the working method being based on a natural language, the working method comprising: pointer-oriented object detection for material-like handling of information from the computer system of artificial intelligence from the cyborg or the android, wherein at the pointer-oriented object, substances from a received signal-response (a subjective object) from the cyborg or the android, a corresponding association (an associative object) from the cyborg or the android and a corresponding thought (the abstract object) is physically formed by the cyborg or the android; Building the abstract object, which only knows the corresponding associative object and not the corresponding subjective object, and also certainly not an environment from the objects, the abstract object clearly looking for a complete combination of words of a vocabulary, both of associative words and abstract words to the associative words, or to the corresponding associative object, where the abstract object can be unambiguous according to the complete combination of words of the vocabulary only from the abstract words that are mapped in the corresponding associative object, where the computer system the abstract object relatively at a time, but not uniquely, wherein the computer system uses a reference in another natural language to the abstract object for a method of operation in the other natural language; forming a plurality of classes, the classes having as objects the subjective objects, the associative objects and the abstract objects, each corresponding subjective object, each corresponding associative object and each corresponding abstract object being the corresponding objects of the same class, the computer system defines the class of each corresponding subjective object, each corresponding associative object, and each corresponding abstract object as an action in the one natural language, with each corresponding subjective object, each corresponding associative object, and each corresponding abstract object linked only through the one natural language are; and characterized by classifying, by the computer system, in a way of thought pattern from a class-based model of OOP, all individual physical memory areas of working memory in each of which the abstract object pointing to not less than two words is stored only if the Class of the abstract object is a verb in the one natural language. The working procedure claim 1 characterized by classifying by the computer system the type of thought pattern from the class-based model of OOP of the abstract object class pointing to no less than two words only when the abstract object class is a verb in the one natural language . The working procedure claim 1 , characterized by building the abstract object corresponding to the associative object, which comprises as attributes a signal phrase and a sense occupancy of at least one sense from which the signal phrase was determined and which after the signal phrase and the sense occupancy is clear. The working procedure claim 3 characterized by integrating the sense occupancy directly into the signal phrase, the sense occupancy being processed from the signal phrase. The working procedure claim 1 , characterized by treating the abstract objects, or the classes of the abstract objects, in a non-continuous treatment mode, discretely for each abstract object, or discretely for each class of the abstract object. The working procedure claim 5 , characterized by initiating the treatment of the abstract objects or the classes of the objects, characterized in that the abstract object is compared with the other abstract objects. The working procedure claim 6 characterized by making a decision whether to treat the abstract object and how to treat the abstract object under a treatment scenario according to a classification tree of the artificial intelligence computer system of the cyborg or the android. The working procedure claim 6 characterized by determining a treatment type as a directly intended treatment type, or from a function polymorphism of the artificial intelligence computer system of the cyborg or the android. The working procedure claim 6 characterized by using the artificial intelligence computer system of the cyborg or the android of more than ten internal policies. The working procedure claim 9 characterized by implementing by the computer system of artificial intelligence of the cyborg or the android a relativity at the time as six working days and a holiday. A computer system of artificial intelligence of a cyborg or an android, which computer system works according to the working method for the treatment of the abstract objects (the thought-substances) of the computer system of artificial intelligence of a cyborg or an android, wherein the working method is based on the based on a natural language, characterized in that the computer system of artificial intelligence of the cyborg or the android is composed of a module of an associative subjectivity and of a module of an abstract subjectivity. The computer system of artificial intelligence from the cyborg or the android after claim 11 , characterized in that the abstract objects, or the classes of the abstract objects, are defined and treated by the module of abstract subjectivity in one natural language.

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