Features
- Cover Type: Paperback with 292 pages
- Published by: Springer
- Edition: 1st Edition January 15, 1997
- Written in: English
- ISBN 10 Number: 3540629343
- ISBN 13 Number: 978-3540629344
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Book Dimensions:
9.2 x 6.1 x 0.6 inches
- Weighs: 15.5 ounces
Book Description
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.
Book Info
Contains selected papers from ECAI'96 Workshop LDAIS held in Budapest, Hungary on August 13, 1996 and ICMAS'96 Workshop LIOME held in Kyoto, Japan on December 10, 1996. Paper.
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