Swarm intelligence /

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...

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Bibliographic Details
Main Authors: Kennedy, James F
Corporate Authors: Elsevier Science & Technology
Group Author: Eberhart, Russell C; Shi, Yuhui
Published: Morgan Kaufmann Publishers,
Publisher Address: San Francisco :
Publication Dates: 2001.
Literature type: eBook
Language: English
Series: Morgan Kaufmann series in evolutionary computation
Subjects:
Online Access: http://www.sciencedirect.com/science/book/9781558605954
Summary: 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 thes
Carrier Form: 1 online resource (xxvii, 512 pages) : illustrations.
Bibliography: Includes bibliographical references (pages 475-495) and index.
ISBN: 0585448353
9780585448350
9781558605954
1558605959
9780080518268
0080518265
Index Number: Q337
CLC: TP18
Contents: Models and concepts of life and intelligence -- Symbols, connections, and optimization by trial and error -- On our nonexistence as entities : the social organism -- Evolutionary computation theory and paradigms -- Humans : actual, imagined, and implied -- Thinking is social -- The particle swarm -- Variations and comparisons -- Applications -- Implications and speculations -- And in conclusion--