Negotiation planning An AI approach》.pdfVIP

216 European Journal of Operational Research 46 (1990) 216-234 North-Holland Negotiation planning: An AI approach * Katia P. SYCARA The Robotics Institute, CarnegieMellon University,Pittsburgh, PA 15213, U.S.A. Abstract: This paper develops a general approach for structuring and modeling negotiations, based on integration of Artificial Intelligence (AI) techniques with decision theoretic methods. Reasoning from past cases similar to the current negotiation, case-based reasoning, is combined with multi-attribute utility theory. The model also includes reasoning to accommodate departures from rationality in the behavior of the agents, and mechanisms to support dynamic problem restructuring. The model has been implemented in a computer program, the P~RSUAO~.R,that functions as a mediator in simulated labor negotiations. The main emphasis of the paper is in presenting the case-based reasoning aspect of the model. Keywords: Artificial Intelligence (AI), decision, multiple criteria decision-making, case-based reasoning, learning from experience, multi-agent planning, bounded rationality, argumentation I. Introduction mally elegant but raise questions of flexibility and accessibility to the practitioners (Raiffa, 1982). Negotiation is an ill-structured and complex To address limitations of quantitative models, process, that