Farhad Zafari
Faria Nassiri-Mofakham
Ali Zeinal Hamadani

During the last decades, opponent modeling techniques, utilized to improve the negotiation outcome, have sparked interest in the negotiation research community. In this study, we first investigate the applicability of nearest neighbor method with different distance functions in modeling the opponent's preferences. Then, we introduce a new distance-based model to extract the opponent's preferences in a bilateral multi issue negotiation session. We devise an experiment to evaluate the efficiency of our proposed model in a real negotiation setting in terms of a number of performance measures.

Bilateral Multi Issue Negotiations, Linear Utility, Opponent Modeling, Bidding Strategy, Acceptance Strategy, Nearest Neighb or Method, Distance Based Learning