Isbn: 9783642264351 - innovations in multi-agent systems and application – 1: 310 (12 risultati)

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    • Lingua: Inglese

      Editore: Springer, 2012

      3642264352 / 9783642264351

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    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg, 2012

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    • Lingua: Inglese

      Editore: Springer, 2012

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      Condizione: New. pp. 312.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Taschenbuch. Condizione: Neu. Innovations in Multi-Agent Systems and Application - 1 | Dipti Srinivasan | Taschenbuch | Studies in Computational Intelligence | x | Englisch | 2012 | Springer | EAN 9783642264351 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

    • Lingua: Inglese

      Editore: Springer, 2012

      3642264352 / 9783642264351

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      Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books

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      Paperback. Condizione: Brand New. 2010 edition. 312 pages. 9.25x6.10x0.74 inches. In Stock.

    • Lingua: Inglese

      Editore: Springer, 2012

      3642264352 / 9783642264351

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      Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

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      Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In today's world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.

    • Lingua: Inglese

      Editore: Springer, 2012

      3642264352 / 9783642264351

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      Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books

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      Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand

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      Condizione: new. Questo è un articolo print on demand.

    • Lingua: Inglese

      Editore: Springer Berlin Heidelberg Okt 2012, 2012

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      Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.

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      Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In today's world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems. 312 pp. Englisch.

    • Lingua: Inglese

      Editore: Springer, 2012

      3642264352 / 9783642264351

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      Da: Majestic Books, Hounslow, Regno UnitoMajestic Books

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      Condizione: New. Print on Demand pp. 312.

    • Lingua: Inglese

      Editore: Springer, 2012

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      Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios

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      Condizione: New. PRINT ON DEMAND pp. 312.

    • Lingua: Inglese

      Editore: Springer Okt 2012, 2012

      3642264352 / 9783642264351

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      Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000

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      Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In today's world, the increasing requirement for emulating the behavior of real-world applications for achieving effective management and control has necessitated the usage of advanced computational techniques. Computational intelligence-based techniques that combine a variety of problem solvers are becoming increasingly pervasive. The ability of these methods to adapt to the dynamically changing environment and learn in an online manner has increased their usefulness in simulating intelligent behaviors as observed in humans. These intelligent systems are able to handle the stochastic and uncertain nature of the real-world problems. Application domains requiring interaction of people or organizations with different, even possibly conflicting goals and proprietary information handling are growing exponentially. To efficiently handle these types of complex interactions, distributed problem solving systems like multiagent systems have become a necessity. The rapid advancements in network communication technologies have provided the platform for successful implementation of such intelligent agent-based problem solvers. An agent can be viewed as a self-contained, concurrently executing thread of control that encapsulates some state and communicates with its environment, and possibly other agents via message passing. Agent-based systems offer advantages when independently developed components must interoperate in a heterogenous environment. Such agent-based systems are increasingly being applied in a wide range of areas including telecommunications, Business process modeling, computer games, distributed system control and robot systems.Springer Nature Customer Service Center GmbH, Europaplatz 3, 69115 Heidelberg 312 pp. Englisch.