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Coordination in Multi-Agent Systems: Coordination Technology in Task-Oriented Environments - Softcover
Inhaltsangabe
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.
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Reseña del editor
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.
Biografía del autor
Dr. Gang Chen obtained his PhD degree from Nanyang Technological University (NTU) Singapore in 2006. He is currently a visiting assistant professor at NTU. He has research interests in various aspects of distributed systems, including multi-agent systems, peer-to-peer overlay networks, and semantic web technology.
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Coordination in Multi-Agent Systems
Verlag:
LAP LAMBERT Academic Publishing, 2010
ISBN 10: 3838307232
ISBN 13: 9783838307237
Neu
Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Chen GangDr. Gang Chen obtained his PhD degree from Nanyang Technological University (NTU) Singapore in 2006. He is currently a visiting assistant professor at NTU. He has research interests in various aspects of distributed systems,. Bestandsnummer des Verkäufers 5411440
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Coordination in Multi-Agent Systems : Coordination Technology in Task-Oriented Environments
Verlag:
LAP LAMBERT Academic Publishing, 2009
ISBN 10: 3838307232
ISBN 13: 9783838307237
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783838307237
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Coordination in Multi-Agent Systems
Verlag:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838307232
ISBN 13: 9783838307237
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Books on Demand GmbH, Überseering 33, 22297 Hamburg 196 pp. Englisch. Bestandsnummer des Verkäufers 9783838307237
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Coordination in Multi-Agent Systems
Verlag:
LAP LAMBERT Academic Publishing Mai 2010, 2010
ISBN 10: 3838307232
ISBN 13: 9783838307237
Neu
Taschenbuch
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 196 pp. Englisch. Bestandsnummer des Verkäufers 9783838307237
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Coordination in Multi-Agent Systems: Coordination Technology in Task-Oriented Environments
Verlag:
LAP Lambert Academic Publishing, 2009
ISBN 10: 3838307232
ISBN 13: 9783838307237
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Paperback. Zustand: Like New. Like New. book. Bestandsnummer des Verkäufers ERICA79038383072326
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