Swarm Intelligence / Edition 1

Swarm Intelligence / Edition 1

5.0 3
by Russell C. Eberhart, Yuhui Shi, James Kennedy
     
 

ISBN-10: 1558605959

ISBN-13: 9781558605954

Pub. Date: 04/09/2001

Publisher: Elsevier Science

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

Overview

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.

Product Details

ISBN-13:
9781558605954
Publisher:
Elsevier Science
Publication date:
04/09/2001
Series:
Morgan Kaufmann Series in Artificial Intelligence Series
Pages:
512
Product dimensions:
7.63(w) x 9.55(h) x 1.19(d)

Table of 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

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Swarm Intelligence 5 out of 5 based on 0 ratings. 3 reviews.
Anonymous More than 1 year ago
Guest More than 1 year ago
Russ Eberhart's simple yet poignant model of PSO exemplifies dominance in a higher order of computational intelligence. The international community should continue to recognize this U.S. research as world class for decades to come.
Guest More than 1 year ago
Excelent book ,got almost all details of ongoing researchs in AI . Helps a lot in reasoning about everything !