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AI and swarm : evolutionary approach to emergent intelligence

Author: Hitoshi Iba
Publisher: Boca Raton, FL : CRC Press/Taylor & Francis Group, 2019.
Edition/Format:   eBook : Document : English : First editionView all editions and formats
Summary:
"The book provides an overview of swarm intelligence and adaptive complex systems for AI, organized in seven chapters. Each chapter begins with a background of the problem and of the current state of the art of the field, and ends with detailed discussion about the complex system frameworks. In addition, the simulators based on optimizers such as PSO, ABC complex adaptive system simulation are described in detail.  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
(DLC) 2019029264
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Hitoshi Iba
ISBN: 9780429027598 0429027591 9780429645792 0429645791 9780429648434 042964843X 9780429651076 0429651074
OCLC Number: 1119740498
Description: 1 online resource (pages cm.)
Contents: Introduction What is AI? - Strong AI VS Weak AI What is emergence? Cellular automaton and edge of chaos AI, Alife and Emergent computation Evolutionary computation How to make a bit? - Exploration vs. exploitation Wire world: A computer implemented as a cellular automation Langton's ant Meta-heuristics Ant colony optimization (ACO) Particle swarm optimization (PSO) Artificial Bee Colony optimization (ABC) Firefly algorithms Cuckoo search Harmony search (HS) Cat swarm optimization (CSO) Meta-heuristics revisited Emergent Properties and swarm intelligence Reaction-Diffusion Computing Queuing theory and traffic jams Silicon Traffic and Rule 184 Segregation and immigration: What is right? Complex adaptive systems Diffusion-Limited Aggregation (DLA) How do snowflakes form? Why do fish patterns change? BZ reaction and its oscillation Why do we have mottled snakes? Theory of Murray Emergence of intelligence Evolution of cooperation and defection Evolutionary psychology and mind theory How does slime solve a maze problem? Slime intelligenceSwarm robots Conclusion References
Responsibility: Hitoshi Iba, Information and Communication Engineering, School of Information Science and Technology, The University of Tokyo, Tokyo, Japan.

Abstract:

"The book provides an overview of swarm intelligence and adaptive complex systems for AI, organized in seven chapters. Each chapter begins with a background of the problem and of the current state of the art of the field, and ends with detailed discussion about the complex system frameworks. In addition, the simulators based on optimizers such as PSO, ABC complex adaptive system simulation are described in detail. These simulators, along with the source codes that are available online, will be useful to readers for practical application tasks"--

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