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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

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normal price: R 2,313.95

Price: R 2,082.95

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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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Normally shipped | Available from overseas. Usually dispatched in 14 days
Publisher | Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Published date | 29 Apr 1997
Language |
Format | Paperback / softback
Pages | 300
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-5406-2934-4
Readership Age |
BISAC |

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Normally shipped | Available from overseas. Delivery time is 14 - 21 days
Readership Age |
Normal Price | R 2,599.95
 Price | R 2,339.95 | on special |

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