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| SWARM INTELLIGENCE
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To order this title, and for more information, click here
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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| Price and Ordering |
Price:
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USD 101
GBP 63
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Last update: 7 Sep 2009
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