Overview
- Explores connections between artificial intelligence and natural intelligence
- Presents novel models and algorithms such as the self-awareness model, the euphoria behavioral model, analogia graph, and the Hansel and Gretel tessellation algorithm
- Provides a wide range of in-depth real-world examples for students, researchers, analysts, engineers, and managers
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About this book
This book attempts to connect artificial intelligence to primitive intelligence. It explores the idea that a genuinely intelligent computer will be able to interact naturally with humans. To form this bridge, computers need the ability to recognize, understand and even have instincts similar to humans.
The author organizes the book into three parts. He starts by describing primitive problem-solving, discussing topics like default mode, learning, tool-making, pheromones and foraging. Part two then explores behavioral models of instinctive cognition by looking at the perception of motion and event patterns, appearance and gesture, behavioral dynamics, figurative thinking, and creativity. The book concludes by exploring instinctive computing in modern cybernetics, including models of self-awareness, stealth, visual privacy, navigation, autonomy, and survivability.
Instinctive Computing reflects upon systematic thinking for designing cyber-physical systems and it would be a stimulating reading for those who are interested in artificial intelligence, cybernetics, ethology, human-computer interaction, data science, computer science, security and privacy, social media, or autonomous robots.
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Keywords
Table of contents (18 chapters)
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Front Matter
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Primitive Problem-Solving
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Front Matter
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Instinctive Cognition
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Front Matter
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Evolving Cybernetics
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Front Matter
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Reviews
“This is a very well-written and well-organized book with a massive collection of references. It also contains a useful index, which will assist the reader with navigation. … it will certainly pique the interest of students and professionals within the computing field. Summing Up: Recommended. Graduate students, faculty, and professionals.” (J. Beidler, Choice, Vol. 54 (12), August, 2017)
Authors and Affiliations
Bibliographic Information
Book Title: Instinctive Computing
Authors: Yang Cai
DOI: https://doi.org/10.1007/978-1-4471-7278-9
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London 2016
Hardcover ISBN: 978-1-4471-7276-5Published: 17 January 2017
Softcover ISBN: 978-1-4471-7396-0Published: 12 July 2018
eBook ISBN: 978-1-4471-7278-9Published: 09 January 2017
Edition Number: 1
Number of Pages: XIV, 391
Number of Illustrations: 219 b/w illustrations, 34 illustrations in colour
Topics: Artificial Intelligence, Cognitive Psychology, Computational Intelligence, Computer Appl. in Social and Behavioral Sciences, Anthropology