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Books in English > Technology, Engineering, Agriculture > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics > Distributed Artifical Intelligence Meets Machine Learning Learning in Multi-Agent Environments

Distributed Artifical Intelligence Meets Machine Learning Learning in Multi-Agent Environments

Name: Distributed Artifical Intelligence Meets Machine Learning Learning in Multi-Agent Environments
Brand: Springer, Berlin
SKU: 05274695
Price: 19777 HUF
Availability: InStock
Author: Gerhard Weiß
ISBN: 9783540629344

ECAI '96 Workshop LDAIS, Budapest, Hungary, August 13, 1996, ICMAS '96 Workshop LIOME, Kyoto, apan, December 10, 1996, Selected Papers

Gerhard Weiß

Language

English

Book Paperback

Libristo code: 05274695

Publishers Springer, Berlin, November 1996

The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent... Full description

Libristo code: 05274695

136 b

19 777 Ft

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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.