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Swarm Intelligence |
Review
Well received the September UK Game industry show. Recent publicity includes a mention in Visual Basic Design Magazine, June issue.
From Book News, Inc.
Particle swarm optimization (PSO) is a new kind of social intelligence model. This interdisciplinary work places particle swarms within the larger context of intelligent adaptive behavior and evolutionary computation, drawing on findings in social-psychological and engineering research to derive a set of optimization algorithms that shed light on human information processing and provide tools for numerical and qualitative optimization. Of interest to researchers and graduate students in cognitive, social, and computer science. Kennedy is a social psychologist who works in survey methods at the US Department of Labor. He has worked with the particle swarm computer model of social influence in artificial communities since 1994.Copyright © 2004 Book News, Inc., Portland, OR
Book 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.
* Places particle swarms within the larger context of intelligent
adaptive behavior and evolutionary computation.
* Describes recent results of experiments with the particle swarm
optimization (PSO) algorithm
* Includes a basic overview of statistics to ensure readers can
properly analyze the results of their own experiments using the
algorithm.
* Support software which can be downloaded from the publishers
website, includes a Java PSO applet, C and Visual Basic source
code.
| Author: |
James Kennedy, Russell Eberhart, Russell C. Eberhart |
| Price: |
$65.95 |
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Book Links:
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Swarm Intelligence
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