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Coordination multi agent systems technology de chen gang (3 resultados)

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  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2010

    3838307232 / 9783838307237

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    Librería: preigu, Osnabrück, Alemaniapreigu

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    Condición: Nuevo

    EUR 58,05

    Envío por EUR 70,00 
    Se envía de Alemania a Estados Unidos de America

    Cantidad disponible: 5 disponibles

    Taschenbuch. Condición: Neu. Coordination in Multi-Agent Systems | Coordination Technology in Task-Oriented Environments | Gang Chen | Taschenbuch | 196 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838307237 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Idioma: Inglés

    Editorial: LAP Lambert Academic Publishing, 2009

    3838307232 / 9783838307237

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    Librería: Mispah books, Redhill, SURRE, Reino UnidoMispah books

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    Condición: Usado - Como Nuevo

    EUR 182,06

    Envío por EUR 29,86 
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    Cantidad disponible: 1 disponible

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

  • Idioma: Inglés

    Editorial: LAP LAMBERT Academic Publishing, 2009

    3838307232 / 9783838307237

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    • Impresión bajo demanda

    Librería: AHA-BUCH GmbH, Einbeck, AlemaniaAHA-BUCH GmbH

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    Condición: Nuevo

    EUR 68,00

    Envío por EUR 35,00 
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    Cantidad disponible: 1 disponible

    Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Coordination, as an art of managing interdependency among activities, will be extensively studied in this book under the multi-agent system paradigm. To model the information essential to agent coordination, this book proposes a Fuzzy Subjective Task Structure (FSTS) model, through which agent coordination is viewed as a Decision-Theoretic Planning problem, to which reinforcement learning can be applied. Two learning algorithms, 'coarse-grained' and 'fine-grained' are presented to address agent coordination at two different levels. The 'coarse-grained' algorithm operates at one level and tackles hard system constraints, while the 'fine-grained' at another level and for soft constraints. Besides reinforcement learning, this book also proposes a bio-inspired approach to agent coordination. A dynamic coordination model inspired by biological metabolic system is presented. Agent coordination is achieved as every agent performs iteratively a dynamic optimization process, which utilizes explicitly the global dynamics captured through the metabolic model. All research results presented in this book are experimentally evaluated to be effective and useful in practice. …