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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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 / edited by Gerhard Weiß

版:

1st ed. 1997

資料種別:

電子ブック

出版情報:

Berlin, Heidelberg : Springer Berlin Heidelberg, 1997

形態:

XII, 300 p.

シリーズ名:

Lecture Notes in Artificial Intelligence ; 1221
Lecture Notes in Computer Science ; 1221

著者名:

ISBN:

9783540690504 [3540690506]
9783662172223 [3662172224]
9783540629344 [3540629343]

書誌ID:

EB00003815

子書誌情報

フルテキスト

所蔵情報

書誌詳細

注記:	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.
主題:	Artificial Intelligence; Compilers and Interpreters; Computer Modelling
言語:	英語

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