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(e-commerce Agents using Reinforcement Learning)  

윤지현 (경북대학교 컴퓨터과학과)
김일곤 (경북대학교 컴퓨터과학과)
Publication Information
Journal of KIISE:Software and Applications / v.30, no.5_6, 2003 , pp. 579-586 More about this Journal
Abstract
Agents are well fitted to e-commerce applicable area because they pursuit an autonomy and interact with dynamic environment. In this paper we propose an e-commerce agents using reinforcement learning. We modify a reinforcement teaming algorithm for agents to have an intelligent feature and to make a transaction as practical business body in behalf of a person. To show the validity of this approach, we classify agents into buying agents and soiling agents, give characters of level according to the degree of learning and communication. Finally we implement an e-commerce framework and show the result. In this paper we show a design of e-commerce agents which is based on the proposed learning algorithm and present that the agents have enough possibility of doing a transaction in practical e-commerce.
Keywords
xml; E-commerce; Learning Agent; Agent System; Agent Communication Language; xml;
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