Negotiation Model Based on Artificial Intelligence in the E-Commerce

Abstract

Electronic negotiations are becoming an important research subject in the area of electronic commerce. Decision analysis and especially multiattributive utility theory play an important role for the support of electronic negotiations. The preferences are usually represented as a utility function on the set of alternatives such that the user prefers an alternative exactly when it has higher utility. Successful experience of the human traditional negotiation is the valuable learning resources of automatic negotiation. Automated negotiation model can learn from past experience in negotiation, reason, and give a reasonable choice of negotiations on a new strategy. The ANN and the CBR are two approaches of Artificial Intelligence that use similarity in an extensive way. Case-based reasoning and neural network have a natural link between the two. So it is put forward model of the negotiations based on neural network and case-based reasoning. It can lead that negotiation can be achieved very good results.