AI and Swarm: Evolutionary approach to emergent intelligence, 1st Edition (Hardback) book cover

AI and Swarm

Evolutionary approach to emergent intelligence, 1st Edition

By Hitoshi Iba

CRC Press

300 pages | 70 B/W Illus.

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Hardback: 9780367136314
pub: 2019-11-15
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AI and Swarm provides both theoretical and practical knowledge about artificial intelligence (AI) and swarm intelligence. It emphasizes real-world applicability and offers empirical examples to illustrate that the proposed approaches are successful. The book provides essential knowledge about AI and swarm intelligence, such as evolutionary computation (EC), emergent properties, and cellular automata (CA). Some of the simulators that are discussed in the book will be made available online to help readers desribe their practical application tasks on their own. AI and Swarm will be useful to researchers and practitioners in the fields of AI, mechatronics, biology and social behavioral science.

Table of Contents

1. Introduction.

2. AI, Alife and Energent Computation.

3. Meta-heuristics.

4. Emergent Properties and Swarm Intelligence.

5. Complex Adaptive Systems.

6. Emergence of Intelligence.

7. Conclusion.

8. Appendix.

About the Author

Hitoshi Iba received his Ph.D. degree from the University of Tokyo, Japan, in 1990. From 1990 to 1998, he was with the Electro Technical Laboratory (ETL) in Ibaraki, Japan. He has been with The University of Tokyo, Japan since 1998. He is currently a Professor at the Deptartment of Information and Communication Engineering, Graduate School of Information Science and Technology, The University of Tokyo. His research interest includes evolutionary computation, genetic programming, bioinformatics, foundations of artificial intelligence, and robotics. He is an Associate Editor of the Journal of Genetic Programming and Evolvable Machines (GPEM). He published many journal papers in various international journals. He is a (co-)author of six books and the editor of five books.

Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Machine Theory
SCIENCE / Life Sciences / General
TECHNOLOGY & ENGINEERING / Electronics / General