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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, ... (Lecture Notes in Computer Science, 1221) - Softcover
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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- PublisherSpringer
- Publication date1997
- ISBN 10 3540629343
- ISBN 13 9783540629344
- BindingPaperback
- Number of pages292
- EditorWeiß Gerhard
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, . (Lecture Notes in Computer Science, 1221)
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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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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments (Lecture Notes in Computer Science (1221)) by Wei??, Gerhard [Paperback ]
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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: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, . (Lecture Notes in Computer Science, 1221)
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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; Dec
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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments
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Book Description Taschenbuch. Condition: 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. Seller Inventory # 9783540629344
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