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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kennedy, James F.
Otros Autores: Eberhart, Russell C., Shi, Yuhui
Formato: Electrónico eBook
Idioma:Inglés
Publicado: San Francisco : Morgan Kaufmann Publishers, ©2001.
Colección:Morgan Kaufmann series in evolutionary computation.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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100 1 |a Kennedy, James F. 
245 1 0 |a Swarm intelligence /  |c James Kennedy, Russell C. Eberhart, with Yuhui Shi. 
260 |a San Francisco :  |b Morgan Kaufmann Publishers,  |c ©2001. 
300 |a 1 online resource (xxvii, 512 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Morgan Kaufmann series in evolutionary computation 
504 |a Includes bibliographical references (pages 475-495) and index. 
588 0 |a Print version record. 
505 0 |a 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-- 
520 |a 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 methodologyparticle swarmswhich 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. 
546 |a English. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Swarm intelligence. 
650 0 |a Systems engineering. 
650 0 |a Distributed artificial intelligence. 
650 6 |a Ingénierie des systèmes. 
650 6 |a Intelligence artificielle répartie. 
650 7 |a systems engineering.  |2 aat 
650 7 |a COMPUTERS  |x Enterprise Applications  |x Business Intelligence Tools.  |2 bisacsh 
650 7 |a COMPUTERS  |x Intelligence (AI) & Semantics.  |2 bisacsh 
650 7 |a Distributed artificial intelligence.  |2 fast  |0 (OCoLC)fst00895579 
650 7 |a Swarm intelligence.  |2 fast  |0 (OCoLC)fst01139953 
650 7 |a Systems engineering.  |2 fast  |0 (OCoLC)fst01141455 
650 1 7 |a Sociale interactie.  |2 gtt 
650 1 7 |a Sociale cognitie.  |2 gtt 
650 1 7 |a Kunstmatige intelligentie.  |2 gtt 
650 1 7 |a Programmeren (computers)  |2 gtt 
650 1 7 |a Zelforganiserende systemen.  |2 gtt 
650 7 |a Inteligência artificial.  |2 larpcal 
700 1 |a Eberhart, Russell C. 
700 1 |a Shi, Yuhui. 
776 0 8 |i Print version:  |a Kennedy, James F.  |t Swarm intelligence.  |d San Francisco : Morgan Kaufmann Publishers, ©2001  |z 1558605959  |w (DLC) 00069641  |w (OCoLC)45790949 
830 0 |a Morgan Kaufmann series in evolutionary computation. 
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