Strategic negotiation in multiagent environments
Strategic negotiation in multiagent environments
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On maximal classes of utility functions for efficient one-to-one negotiation
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KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part III
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WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
On maximal classes of utility functions for efficient one-to-one negotiation
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DALT'07 Proceedings of the 5th international conference on Declarative agent languages and technologies V
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FoIKS'08 Proceedings of the 5th international conference on Foundations of information and knowledge systems
Infinite order Lorenz dominance for fair multiagent optimization
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1
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Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Modal logics of negotiation and preference
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
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When rational but myopic agents negotiate over the exchange of indivisible resources, any restriction to the negotiation protocol may prevent the system from converging to a socially optimal allocation in the general case. This paper addresses this issue by analysing how the confinement to certain classes of utility functions can enable agents to move to an optimal allocation by negotiating over small bundles of items at a time. In particular, we consider so-called k-separable domains, where the full set of resources can be divided into several preferentially independent bundles of limited cardinality.