Kniha Distributed Artifical Intelligence Meets Machine Learning Learning in Multi-Agent Environments Gerhard Weiß

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

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

Autor: Gerhard Weiß
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: Springer, Berlin
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 147
The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent...

Informace o knize

Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
1997
Stránek
300
EAN
9783540629344
ISBN
3540629343
Enbook ID
05274695
Vydavatel
Hmotnost
482
Rozměry
156 x 234 x 16

Kompletní popis

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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