Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: Ecai'96 Workshop Ldais, Budapest, Hungary, August 13,

Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: Ecai'96 Workshop Ldais, Budapest, Hungary, August 13,

Weiß, Gerhard

Paperback

General ComputersProgramming

ISBN10: 3540629343
ISBN13: 9783540629344
Publisher: Springer
Published: Apr 29 1997
Pages: 300
Weight: 0.97
Height: 0.65 Width: 6.14 Depth: 9.21
Language: English
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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General Computers

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