AgentK2: Compromising Strategy Based on Estimated Maximum Utility for Automated Negotiating Agents
In the setting of the competition, my utility space is not mutually taught the other agent. Therefore, there is a little information can be used for the strategy construction. In this thesis, it proposes the technique for expecting the best mutual agreement offer that can be get out from the other agent in the future from the statistical information of the value in which the other agent’s proposal is evaluated it’s own utility space.
KeywordsAcceptance Probability Mutual Agreement Utility Space Automate Negotiation Inverse Propor
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