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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Main Authors: | |
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Corporate Authors: | |
Group Author: | ; |
Published: |
Morgan Kaufmann Publishers,
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Publisher Address: | San Francisco : |
Publication Dates: | 2001. |
Literature type: | eBook |
Language: | English |
Series: |
Morgan Kaufmann series in evolutionary computation
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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-- |