Uncertainty in Artificial Intelligence
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An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete Information
Minyi Li, Quoc Bao Vo, Ryszard Kowalczyk
Abstract:
We study the problem of agent-based negotiation in combinatorial domains. It is difficult to reach optimal agreements in bilateral or multi-lateral negotiations when the agents' preferences for the possible alternatives are not common knowledge. Self-interested agents often end up negotiating inefficient agreements in such situations. In this paper, we present a protocol for negotiation in combinatorial domains which can lead rational agents to reach optimal agreements under incomplete information setting. Our proposed protocol enables the negotiating agents to identify efficient solutions using distributed search that visits only a small subspace of the whole outcome space. Moreover, the proposed protocol is sufficiently general that it is applicable to most preference representation models in combinatorial domains. We also present results of experiments that demonstrate the feasibility and computational efficiency of our approach.
Keywords:
Pages: 436-444
PS Link:
PDF Link: /papers/11/p436-li.pdf
BibTex:
@INPROCEEDINGS{Li11,
AUTHOR = "Minyi Li and Quoc Bao Vo and Ryszard Kowalczyk",
TITLE = "An Efficient Protocol for Negotiation over Combinatorial Domains with Incomplete Information",
BOOKTITLE = "Proceedings of the Twenty-Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-11)",
PUBLISHER = "AUAI Press",
ADDRESS = "Corvallis, Oregon",
YEAR = "2011",
PAGES = "436--444"
}


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