Boman

Multi-Agent Rationality

8th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW'97, Ronneby, Sweden, May 13-16, 1997, Proceedings
Mitarbeit:Boman, Magnus; Velde, Walter van de

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Lecture Notes in Computer Science 1237
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 10548791, 978-3-540-63077-7
• 1997
• Seitenzahl: 276
• Erscheinungstermin: 2. Mai 1997
• Englisch
• Abmessung: 235mm x 155mm x 16mm
• Gewicht: 412g
• ISBN-13: 9783540630777
• ISBN-10: 3540630775
• Artikelnr.: 09221995

Inhaltsangabe

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.