Könyv 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

Szerző: Gerhard Weiß
Nyelv: Angol
Kötés: Puha kötésű
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
19 063 Ft
The complexity of systems studied in distributed artificial intelligence (DAI), such as multi-agent...

Információk a könyvről

Szerző
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
1997
oldal
300
EAN
9783540629344
ISBN
3540629343
Enbook ID
05274695
Súly
482
Méretek
156 x 234 x 16

Teljes leírás

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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