Learning Opponent’s Eagerness with Bayesian Updating Rule in a Market-Driven Negotiation Model
Yoshimasa Ishihara, Runhe Huang, Kwang Mong Sim · 2005
Sim proposed a market-driven negotiation model [I] for designing negotiation agents. Although agent itself eagerness was taken into consideration as a fixed value in Sim's proposed model, opponent's eagerness was not considered. This paper proposes an improved market-driven negotiation model in which Bayesian updating rule is applied to learn opponent's eagerness since opponent's eagerness is unknown to an agent and may vary with dynamic changing market situation.