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Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, ... Papers (Lecture Notes in Computer Science) [Paperback]

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Item description for Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, ... Papers (Lecture Notes in Computer Science) by Gerhard Weiß...

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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Item Specifications...


Pages   292
Est. Packaging Dimensions:   Length: 9.21" Width: 6.14" Height: 0.65"
Weight:   0.97 lbs.
Binding  Softcover
Release Date   Jan 15, 1997
Publisher   Springer
ISBN  3540629343  
ISBN13  9783540629344  


Availability  96 units.
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1Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Computer Mathematics
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3Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Human Vision & Language Systems
4Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Machine Learning
5Books > Subjects > Computers & Internet > Computer Science > Artificial Intelligence > Theory of Computing
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14Books > Subjects > Science > Physics > System Theory



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