Negotiation Model Based on artificial intelligence in the E-commerce
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.
Preference elicit at ion MAUT Negotiation Model CBR ANN
Shaobin Dong Aihua Li
Huiyin Institute of Technology Huaian,China
国际会议
Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)
上海
英文
193-196
2010-12-24（万方平台首次上网日期，不代表论文的发表时间）