Coalitions among computationally bounded agents
Artificial Intelligence - Special issue on economic principles of multi-agent systems
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Dynamic Coalition Formation among Rational Agents
IEEE Intelligent Systems
The Influence of Information on Negotiation Equilibrium
AAMAS '02 Revised Papers from the Workshop on Agent Mediated Electronic Commerce on Agent-Mediated Electronic Commerce IV, Designing Mechanisms and Systems
Designing Bidding Strategies for Trading Agents in Electronic Auctions
ICMAS '98 Proceedings of the 3rd International Conference on Multi Agent Systems
Possibility theory as a basis for qualitative decision theory
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
On possibilistic case-based reasoning for selecting partners in multi-agent negotiation
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Learning consumer preferences using semantic similarity
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Multiagent and Grid Systems - Negotiation and Scheduling Mechanisms for Multiagent Systems
Partners selection in multi-agent systems by using linear and non-linear approaches
Transactions on computational science I
Optimization of multiple related negotiation through multi-negotiation network
KSEM'10 Proceedings of the 4th international conference on Knowledge science, engineering and management
A negotiation based approach for service composition
DESRIST'10 Proceedings of the 5th international conference on Global Perspectives on Design Science Research
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We propose an enhanced mechanism for selecting partners for multi-attribute negotiation. The mechanism employs possibilistic case-based reasoning. The possibility of successful negotiation for each potential partner is predicted on the basis of its behaviour in previous multi-attribute negotiations. The qualitative expected utility for each potential partner is derived and the agents are ordered according to the values of these utilities. The order determines who is more and who is less desirable partner for negotiation. The proposed approach allows choosing the most prospective negotiation partners based on small sample of historical cases of previous interactions even if the previous situations are different from the current one. A simple example of calculations is presented to demonstrate the proposed approach.