Negotiation and cooperation in multi-agent environments
Artificial Intelligence - Special issue on economic principles of multi-agent systems
Agent-mediated electronic commerce: a survey
The Knowledge Engineering Review
Measuring the performance of online opponent models in automated bilateral negotiation
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Accepting optimally in automated negotiation with incomplete information
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
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In this paper, the ongoing research of the author on designing an automated negotiator is described. One of the key challenges of designing a successful negotiation agent is that usually only limited information is available about the other party. Therefore, we need to combine various learning techniques to decide what offers to make, and when to accept. Our goal is to investigate techniques for developing a versatile automated negotiator that can effectively conduct negotiations in an incomplete information setting.