Title :
E-Commerce Automated Negotiation Model Research Based on Multi-agent
Author :
Kang Ronglong ; Jiang Tongqiang
Author_Institution :
Sch. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
At present, Intelligent Agent negotiation system has become a popular tool used in e-commerce with the development of artificial intelligence and Agent Technology. In the background, this paper presents an Intelligent Agent negotiation model to assist users in e-commerce negotiations. In this model, the mechanism of Bayesian learning method is introduced, and the negotiations Agent change negotiations beliefs through Bayesian learning, so that the negotiating parties agree or terminate the negotiations faster. Finally, the negotiation model compared with the model which not use Bayesian learning mechanism, and found that, Agent can adjust the negotiation strategy better in the negotiating process in this model, and the efficiency of negotiations is improved.
Keywords :
Bayes methods; electronic commerce; learning (artificial intelligence); multi-agent systems; Bayesian learning method mechanism; agent technology; artificial intelligence development; e-commerce automated negotiation model research; intelligent agent negotiation system; multiagent system; Bayes methods; Computational modeling; Educational institutions; Learning systems; Proposals; Protocols; Agent; Automatic negotiation; Bayesian learning; Electronic commerce;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2013 5th International Conference on
Print_ISBN :
978-0-7695-5011-4
DOI :
10.1109/IHMSC.2013.114