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  • 1
    Online Resource
    Online Resource
    Swarm Intelligence (2001)
    [Erscheinungsort nicht ermittelbar] : Morgan Kaufmann | Boston, MA : Safari
    Details
    ISBN: 9781558605954
    Language: English
    Pages: 1 online resource (512 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: 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.
    Note: Online resource; Title from title page (viewed April 11, 2001) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    MPI Ethno. Forsch.
  • 2
    Online Resource
    Online Resource
    Computational Intelligence (2011)
    [Erscheinungsort nicht ermittelbar] : Morgan Kaufmann | Boston, MA : Safari
    Details
    ISBN: 9781558607590
    Language: English
    Pages: 1 online resource (496 pages)
    Edition: 1st edition
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Computational Intelligence: Concepts to Implementations provides the most complete and practical coverage of computational intelligence tools and techniques to date. This book integrates various natural and engineering disciplines to establish Computational Intelligence. This is the first comprehensive textbook on the subject, supported with lots of practical examples. It asserts that computational intelligence rests on a foundation of evolutionary computation. This refreshing view has set the book apart from other books on computational intelligence. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field. Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational intelligence that has, in their extensive experience, proved highly effective. The book moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific con. It explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation. It details the metrics and analytical tools needed to assess the performance of computational intelligence tools. The book concludes with a series of case studies that illustrate a wide range of successful applications. This book will appeal to professional and academic researchers in computational intelligence applications, tool development, and systems. Moves clearly and efficiently from concepts and paradigms to algorithms and implementation techniques by focusing, in the early chapters, on the specific concepts and paradigms that inform the authors' methodologies Explores a number of key themes, including self-organization, complex adaptive systems, and emergent computation Details the metrics and analytical tools needed to assess the performance of computational intelligence tools Concludes with a series of case studies that illustrate a wide range of successful applications Presents code examples in C and C++ Provides, at the end of each chapter, review questions and exercises suitable for graduate students, as well as researchers and practitioners engaged in self-study
    Note: Online resource; Title from title page (viewed April 18, 2011) , Mode of access: World Wide Web.
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
  • 3
    Online Resource
    Online Resource
    Swarm intelligence (2001)
    San Francisco : Morgan Kaufmann Publishers
    Details
    ISBN: 0585448353 , 9780585448350 , 9781558605954 , 1558605959 , 9780080518268 , 0080518265
    Language: English
    Pages: 1 online resource (xxvii, 512 pages) , illustrations
    Series Statement: Morgan Kaufmann series in evolutionary computation
    DDC: 006.3
    Keywords: COMPUTERS / Enterprise Applications / Business Intelligence Tools ; COMPUTERS / Intelligence (AI) & Semantics ; Distributed artificial intelligence ; Swarm intelligence ; Systems engineering ; Sociale interactie ; Sociale cognitie ; Kunstmatige intelligentie ; Programmeren (computers) ; Zelforganiserende systemen ; Inteligência artificial ; Swarm intelligence ; Systems engineering ; Distributed artificial intelligence ; Schwarmintelligenz ; Systemanalyse ; Verteilte künstliche Intelligenz ; Schwarm ; Künstliche Intelligenz ; Selbstorganisation ; Evolutionärer Algorithmus ; Intelligenz ; Electronic books. ; Electronic books. ; Schwarm ; Selbstorganisation ; Intelligenz ; Künstliche Intelligenz ; Evolutionärer Algorithmus ; Schwarm ; Intelligenz ; Systemanalyse ; Verteilte künstliche Intelligenz ; Schwarmintelligenz
    Abstract: 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.
    Abstract: 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.
    Abstract: * Support software which can be downloaded from the publishers website, includes a Java PSO applet, C and Visual Basic source code
    Note: Includes bibliographical references (pages 475-495) and index
    URL: Volltext  (URL des Erstveröffentlichers)
    URL: Volltext  (Deutschlandweit zugänglich)
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    MPI Ethno. Forsch.
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