Overview

This book constitutes the refereed proceedings of the 8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97, held in Ronneby, Sweden, in May 1997.MAAMAW'97 is devoted to multi-agent rationality, thus reflecting the fact that there is presently a transition in the multi-agent community from the study of individual rationality to the study of group rationality. The volume presents 15 revised full papers selected from a total of 51 submissions; also included are the abstracts of three invited talks. The volume covers all current issues in multi-agent rationality.

Full Product Details

Author:   Magnus Boman ,  Walter Van De Velde
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   1997 ed.
Volume:   1237
Dimensions:   Width: 15.50cm , Height: 1.40cm , Length: 23.50cm
Weight:   0.860kg
ISBN:  

9783540630777

ISBN 10:   3540630775
Pages:   262
Publication Date:   02 May 1997
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print  
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Table of Contents

Market-aware agents for a multiagent world.- Learning and adoption versus optimization.- Limits of strategic rationality for agents and M-A systems.- Multiagent coordination in antiair defense: A case study.- A service-oriented negotiation model between autonomous agents.- Norms as constraints on real-time autonomous agent action.- Distributed belief revision vs. belief revision in a multi-agent environment: First results of a simulation experiment.- Multi-agent coordination by communication of evaluations.- Causal reasoning in multi-agent systems.- The reorganization of societies of autonomous agents.- Adaptive selection of reactive/deliberate planning for the dynamic environment.- Distributed problem-solving as concurrent theorem proving.- Commitments among autonomous agents in information-rich environments.- Making a case for Multi-Agent Systems.- Learning network designs for asynchronous teams.- Building multi-agent systems with CORRELATE.- Modelling an agent's mind and matter.- Delegation conflicts.

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