Design and Evaluation of Agent-Based Negotiation Heuristic for Online Negotiations
نویسندگان
چکیده
This paper presents a negotiation heuristic for software agents that enable agents to learn about the opponent’s behavior and use market information while conducting online negotiations. The heuristic is tested in a pilot experimental study, where the performance of agents is evaluated with respect to human negotiators in a simulated electronic market. Preliminary results indicate that agents may have the potential to do better than humans in multi-issue negotiation settings.
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