Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, . Notes in Computer Science, 1221, Band 1221)

Wei??, Gerhard:

ISBN 10: 3540629343 / ISBN 13: 9783540629344

Published by Springer, 1997

About this Item

312 Seiten Anderes Cover. Von 1997. Innerhalb Deutschlands Versand je nach Größe/Gewicht als Großbrief bzw. Bücher- und Warensendung mit der Post oder per DHL. Rechnung mit MwSt.-Ausweis liegt jeder Lieferung bei. Sprache: Englisch Gewicht in Gramm: 408 Taschenbuch, Größe: 15.5 x 1.8 x 23.5 cm.

Seller Inventory # 935257

Bibliographic Details

• Title: Distributed Artificial Intelligence Meets Machine Learning Learning in Multi-Agent Environments: ECAI'96 Workshop LDAIS, Budapest, Hungary, August 13, . Notes in Computer Science, 1221, Band 1221)
• Publisher: Springer
• Publication Date: 1997
• Language: English
• ISBN 10: 3540629343
• ISBN 13: 9783540629344
• Binding: Soft cover
• Edition: 1997.
• Condition: Gut
• Weight: 408 grams
• Seller catalogs:
  • Informatik

About this title

Synopsis

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.