Multi-Agent Rationality

8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97, Ronneby, Sweden, May 13-16, 1997, Proceedings

AvMagnus Boman,Walter Van de Velde

Häftad, Engelska, 1997

Del i serien Lecture Notes in Computer Science

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Beskrivning

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.

Produktinformation

Utgivningsdatum:1997-05-02
Mått:155 x 235 x 16 mm
Vikt:423 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:262
Upplaga:1997
Förlag:Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
ISBN:9783540630777

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Innehållsförteckning

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.