Learning Mechanism and Its Application in E-commerce

doi:10.13190/jbupt.200903.1.lij

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2009, Vol. 32 ›› Issue (3): 1-4.doi: 10.13190/jbupt.200903.1.lij

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Learning Mechanism and Its Application in E-commerce

LI Jian, NIU Shao-zhang

National Engineering Laboratory for Disaster Backup and Recovery, Beijing University of Posts and Telecommunications

Received:2008-06-26 Revised:2009-01-06 Online:2009-06-28 Published:2009-06-28
Contact: LI Jian

Abstract

Abstract:

To decrease the incomplete information between agents in MAS(multi-agent system)based e-commerce, accelerate the process of negotiation, and enhance the efficiency of negotiation, a classified learning mechanism is provided in bilateral multi-issue negotiation to learn some incomplete information especially the incomplete information about agent opponent’s negotiation issue weight. The opponent’s issue weight is learned by assigning different concession issue to different classified weight. In the experiment, two kinds of negotiation agents are used to compare, one is the agent with no learning, and the other is the agent with classified learning mechanism. The experimental results show that the agent with learning mechanism can negotiate more efficiently than that of no learning agent. The agent with classified learning mechanism can enhance the efficiency of negotiation in agent based ecommerce.

Key words: e-commerce, bilateral multi-issue negotiation, agent, learning mechanism

LI Jian, NIU Shao-zhang. Learning Mechanism and Its Application in E-commerce[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2009, 32(3): 1-4.

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Learning Mechanism and Its Application in E-commerce

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