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Imitation of Human Behavior in 3D-Shooter Game
Ch. 9. P. 64–77.
There are many algorithms for 3D-shooter game artificial intelligence that are based on automatic target recognition with the help of ray casting, scriptbased event systems and many others. In such models game agents have an advantage over human player because computers do not need time for enemy recognition and target aiming processes. The main goal of our research is to imitate a realistic enemy player under PC control, which acts similar to a human reaction. We consider such aspects of shooter in-game processes as visual recognition of players, the delay for the response on each game event and distributed strategies of decision making. The paper presents method of visual recognition of player's 3D-model with the use of geometry knowledge of the three-dimensional maze and target sighting with respect to human motor reflexes. The implementation is made in Unreal Engine 4, which provides large variety of methods for programming game agents.
В книге
Issue 1452. , Aachen: CEUR Workshop Proceedings, 2015.
Vladimir V. Klinshov, Kirillov S., Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 2022 Vol. 106 No. 6 Article L062302
Neural mass models is a general name for various models describing the collective dynamics of large neural
populations in terms of averaged macroscopic variables. Recently, the so-called next-generation neural mass
models have attracted a lot of attention due to their ability to account for the degree of synchrony. Being exact
in the limit of infinitely large number of ...
Added: January 24, 2023
Farshchi M., Kiba A., Sawada T., Plos One 2021 Vol. 16 No. 1: e0242581 P. 1–17
Artists can represent a 3D object by using only contours in a 2D drawing. Prior studies have shown that people can use such drawings to perceive 3D shapes reliably, but it is not clear how useful this kind of contour information actually is in a real dynamical scene in which people interact with objects. To ...
Added: January 23, 2021
Кузнецова Я. Д., В кн.: Интеллектуальные системы в науке и технике. Искусственный интеллект в решении актуальных социальных и экономических проблем ХХI века. Пермь: Пермский государственный национальный исследовательский университет. – Электронные данные. , 2020.
The article describes the development of the music generation system based on a genetic algorithm which is used with an artificial neural network as the corresponding fitness function. The application allows you to create melodies which are based on initially set melodies of a certain musical genre selected by the user, which are modified and ...
Added: December 10, 2020
Pantiukhin D., Речевые технологии 2021 № 3-4 С. 3–16
Added: June 17, 2022
Bukharov O., Mizikin A. A., Bogolyubov D., Промышленные АСУ и контроллеры 2013 № 7 С. 37–45
In this article we ground some advantages of the evolutionary approach to the solution of problems of decision support system development. The most popular methods of forecasting and detection of dependences are considered. Advantages of use of neural networks to forecast and to determine of dependences between parameters of systems are given. Advantages of interval ...
Added: November 29, 2013
Rohrmanstorfer S., Komarov M. M., Mödritscher F., Mathematics 2021 No. 9 Article 624
With the always increasing amount of image data, it has become a necessity to automatically look for and process information in these images. As fashion is captured in images, the fashion sector provides the perfect foundation to be supported by the integration of a service or application that is built on an image classification model. ...
Added: September 14, 2021
Yasnitsky L., Киросова А. В., Cherepanov F., Вестник спортивной науки 2012 № 5
Разработана компьютерная программа, предназначенная для прогнозирования результатов чемпионата мира 2013 года по легкой атлетике на дистанции 100 метров у мужчин. В основе программы лежит нейронная сеть, обученная на результатах предыдущих чемпионатов мира. Имеется демонстрационный прототип, который оценивает шансы на победу для каждого из пяти возможных претендентов. Помимо прогнозов программа позволяет оценивать влияние изменения параметров, характеризующих ...
Added: December 6, 2012
Muratova A., , in: WSDM '21: Proceedings of the 14th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery (ACM), 2021. P. 1113–1114.
There is a diverse variety of demographic data that can be analyzed with modern methods of data mining to achieve better results. On the one hand, the main chosen task is to compare different methods for the next event prediction and gender prediction, on the other hand, we pay special attention to interpretable patterns describing ...
Added: June 4, 2021
Vladimir V. Klinshov, Kovalchuk A., Franović I. et al., Chaos, Solitons and Fractals 2022 Vol. 158 Article 112011
Rate chaos is a collective state of a neural network characterized by slow irregular fluctuations of firing rates of
individual neurons.We study a sparsely connected network of spiking neuronswhich demonstrates three different
scenarios for the emergence of rate chaos, based either on increasing the synaptic strength, increasing the
synaptic integration time, or clustering of the excitatory synaptic connections. ...
Added: January 24, 2023
I. K. Kusakin, Fedorets O. V., A. Y. Romanov, Scientific and Technical Information Processing 2023 Vol. 50 No. 3 P. 176–183
This paper discusses modern approaches to natural language processing and the application of machine learning models to the task of classifying short scientific texts in Russian. This study is devoted to the analysis of methods for vectorization of textual information, selection of a model for scientific paper clas- sification, and training of linguistic model BERT ...
Added: November 4, 2023
Malafeev A., Nikolaev K., , in: Analysis of Images, Social Networks and Texts. 8th International Conference, AIST 2019, Kazan, Russia, July 17–19, 2019, Revised Selected Papers. Communications in Computer and Information ScienceVol. 1086. Springer, 2020. P. 154–159.
In this paper, a deep learning method study is conducted to solve a new multiclass text classification problem, identifying user interests by text messages. We used an original dataset of almost 90 thousand forum text messages, labeled for ten interests. We experimented with different modern neural network architectures: recurrent and convolutional, as well as simpler ...
Added: November 7, 2019
Деветьяров Д. А., Kumskov M. I., Нейрокомпьютеры: разработка, применение 2010 № 3 С. 14–19
Предложен метод создания искусственных нейронных сетей (ИНС) на основе кусочно-линейных моделей «структура-свойство», погружаемых в структуру ИНС. Приведены правила интерпретации элементов кусочно-линейной модели в виде многоуровневой нейронной сети. Показано применение метода к обучающей выборке соединений, протестированных на токсичность, с качеством прогноза до 87,9%. ...
Added: December 2, 2015
Терещенко С. Н., Perov A., Осипов А. Л., Siberian Journal of Life Sciences and Agriculture 2021 Т. 13 № 1 С. 144–155
Background.
Development of a convolutional neural network model for detecting cassava diseases from a mobile phone photo.
Materials and methods. The material for the research was taken images with various types of cassava diseases, published in open access of the Kaggle platform.
Research methods: theory of design and development of information systems, programming, methods of augmentation and extension ...
Added: November 17, 2021
Shklyar D., JOURNAL OF GEOPHYSICAL RESEARCH-SPACE PHYSICS 2019 Vol. 124 No. 5 P. 3522–3531
For the first time an evaluation of the whistler rate around the Earth is performed using results
from the neural network aboard the microsatellite DEMETER. It is shown that the rate of whistlers with low
dispersion calculated all around the Earth as a function of longitude vary between 1 and 6 s−1 during
nighttime (22.30 LT) and between ...
Added: June 17, 2019
Decrouez G. G., Borovkov K., Gilson M., Journal of Applied Probability 2014 Vol. 51 No. 3 P. 837–857
The paper deals with nonlinear Poisson neuron network models with bounded memory dynamics, which can include both Hebbian learning mechanisms and refractory periods. The state of the network is described by the times elapsed since its neurons fired within the post-synaptic transfer kernel memory span, and the current strengths of synaptic connections, the state spaces ...
Added: September 29, 2014
Bolotova L. S., Сорокин А. Б., Проблемы безопасности и чрезвычайных ситуаций 2013 № 1 С. 96–112
This article discusses features of the management system of hidden hard to reach populations. For a basis of modeling of management process the hidden hard to reach groups of the population took group of consumers of injecting drugs. The main problem which the system has to solve it is deter-mination of number of consumers of ...
Added: March 21, 2014
Arkhipova M., Экономика региона 2022 Т. 18 № 2 С. 581–594
The article examines new methodologies for modelling crop yield in agricultural regions of Russia based on the use of remote capabilities to get information on the field state. The proposed approach can be applied to develop indicator systems and create methodological platforms and models necessary to obtain more accurate estimates. In comparison with the traditional ...
Added: January 12, 2023
Pavolotsky A. V., Левицкая Н. И., Голуб А. О., Качество. Инновации. Образование 2015 № 2-2015 С. 33–43
The article considers several approaches for construction of learning intelligent systems - technologies for the automated control of knowledge. The authors provide descriptions of algorithms, as wel as examples and analysis ...
Added: April 7, 2015
Mylnikova A., Чернышева П. А., Научно-техническая информация. Серия 1. Организация и методика информационной работы 2024 № 2 С. 26–35
Рассматривается проблема, связанная с потерей смысла и связности изложения при машинном переводе между естественными языками. Цель исследования - изучение возможностей применения соответствий пар скелетных структур текста для повышения качества перевода. Показаны методы изменения порядка слов в системах машинного перевода, использующих нейронные сети и статистические методы. Выполнен сравнительный анализ качества получаемого перевода, сделаны выводы о формах ...
Added: April 3, 2024
Pushkarev E., Вестник Южно-Уральского государственного университета. Серия: Лингвистика 2015 Т. 12 № 4 С. 56–60
The paper theorizes on the general architectonics of idealized cognitive models (ICMs) and their involvement in metonymy and metaphor. The article posits that an ICM's structure should reflect the architecture of the neural network/s engaged in processing of a given concept. The ICM nodes, or cogs, construct a complex, hierarchically organized neural connections, with the ...
Added: December 8, 2015
Kirichenko A. A., В кн.: Инновации на основе информационных и коммуникационных технологий: Материалы международной научно-практической конференции (2013). М.: МИЭМ НИУ ВШЭ, 2013. С. 298–300.
Now in many packages of applied programs, for example, such, as "Statistics", "SPSS", "Deductor", "Matlab", etc. modules for carrying out neuronetwork researches (Neural Network) began to be provided. Opportunities them very strongly differ in this connection the formulation of minimum necessary structure of functions, sufficient is of interest to carrying out neuronetwork research of data. ...
Added: March 17, 2014
Pantiukhin D., Данилин С. Н., Щаников С. А. et al., Алгоритмы, методы и системы обработки данных 2019 № 1(39) С. 14–45
В статье рассмотрено состояние исследований в области инженерного проектирования, производства и применения искусственных нейронных сетей наиболее известных российских и зарубежных разработчиков и производителей современных и перспективных высокопроизводительных вычислительных средств нового поколения. Отмечены достижения и проблемы, требующие решения для дальнейшего развития данной области науки и техники. ...
Added: November 10, 2019
Semenenko M. G., Kniazeva I. V., Beckel L. S. et al., , in: IOP Conference Series: Materials Science and Engineering, Volume 537, Issue 3Vol. 537. Issue 3. Institute of Physics Publishing (IOP), 2019.
Added: October 20, 2021
Nazarova V., Ульзутуева Б. Д., Управление финансовыми рисками 2017 № 3(51) С. 166–189
The purpose of this research is to develop a mechanism for forecasting foreign ex-change movements based on a combination of fundamental and technical approaches taking into account the speculative constituent in the pricing of a currency on the inter-national capital market. The significance of the work lies in the expansion of the practi-cal and theoretical ...
Added: December 27, 2017