Swarm intelligence
Author(s)
Bibliographic Information
Swarm intelligence
（The Morgan Kaufmann series in evolutionary computation）
Morgan Kaufmann, c2001
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Note
Includes bibliographical references (p. 475-495) and index
Description and Table of Contents
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.
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
by "Nielsen BookData"
