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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments - Couverture souple
Synopsis
The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, . Notes in Computer Science, 1221, Band 1221)
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Springer, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
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Couverture souple
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 Selected Papers
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PF. Etat : New. This item is printed on demand. Brand new book, sourced directly from publisher. Dispatch time is 6-7 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. N° de réf. du vendeur 6666-IUK-9783540629344
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Distributed Artificial Intelligence Meets Machine Learning : Learning in Multi-Agent Environments : Ecai'96 Workshop Ldais Budapest, Hungary, August 13, 1996 Icmas'96 Workshop Liome Kyoto, Japan, December 10, 19
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
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Springer Berlin Heidelberg Apr 1997, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information. 312 pp. Englisch. N° de réf. du vendeur 9783540629344
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
Edité par
Springer Berlin Heidelberg, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
Neuf
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Kartoniert / Broschiert. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad . N° de réf. du vendeur 4896133
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments : ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS'96 Workshop LIOME, Kyoto, Japan, December 10, 1996 Selected Papers
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information. N° de réf. du vendeur 9783540629344
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
Edité par
Springer, Springer Apr 1997, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
Neuf
Taschenbuch
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent systems, often makes it extremely difficult or even impossible to correctly and completely specify their behavioral repertoires and dynamics. There is broad agreement that such systems should be equipped with the ability to learn in order to improve their future performance autonomously. The interdisciplinary cooperation of researchers from DAI and machine learning (ML) has established a new and very active area of research and development enjoying steadily increasing attention from both communities. This state-of-the-art report documents current and ongoing developments in the area of learning in DAI systems. It is indispensable reading for anybody active in the area and will serve as a valuable source of information.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 312 pp. Englisch. N° de réf. du vendeur 9783540629344
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI*96 Workshop LDAIS, Budapest, Hungary, August 13, . Papers (Lecture Notes in Computer Science)
Edité par
Springer, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
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Distributed Artificial Intelligence Meets Machine Learning : Learning in Multi-Agent Environments : Ecai'96 Workshop Ldais Budapest, Hungary, August 13, 1996 Icmas'96 Workshop Liome Kyoto, Japan, December 10, 19
Edité par
Springer, 1997
ISBN 10 : 3540629343
ISBN 13 : 9783540629344
Ancien ou d'occasion
Couverture souple
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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