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SWARM INTELLIGENCE
Swarm Intelligence
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By
Russell Eberhart, Purdue School of Engineering
Yuhui Shi, Electronic Data Systems, Inc.
James Kennedy, US Department of Labor

Description


Traditional methods for creating intelligent computational systems have privileged private "internal" cognitive and computational processes. In contrast, Swarm Intelligence argues that human intelligence derives from the interactions of individuals in a social world and further, that this model of intelligence can be effectively applied to artificially intelligent systems. The authors first present the foundations of this new approach through an extensive review of the critical literature in social psychology, cognitive science, and evolutionary computation. They then show in detail how these theories and models apply to a new computational intelligence methodology?particle swarms?which focuses on adaptation as the key behavior of intelligent systems. Drilling down still further, the authors describe the practical benefits of applying particle swarm optimization to a range of engineering problems. Developed by the authors, this algorithm is an extension of cellular automata and provides a powerful optimization, learning, and problem solving method.

This important book presents valuable new insights by exploring the boundaries shared by cognitive science, social psychology, artificial life, artificial intelligence, and evolutionary computation and by applying these insights to the solving of difficult engineering problems. Researchers and graduate students in any of these disciplines will find the material intriguing, provocative, and revealing as will the curious and savvy computing professional.

Contents
Introduction Part 1: Foundations Life and Intelligence Optimization by Trial and Error On our Nonexistence as Entities Evolutionary Computation Theory and Paradigms Humans - Actual, Imagined and Implied Thinking is Social Part 2: Particle Optimization and Collective Intelligence The Binary Particle Swarm Variations and Comparisons; Applications Implications and Speculations Conclusions

Bibliographic details
Hardbound, 512 pages, publication date: MAR-2001
ISBN-13: 978-1-55860-595-4
ISBN-10: 1-55860-595-9
Imprint: MORGAN KAUFFMAN

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USD 101
GBP 63
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Last update: 7 Sep 2009
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