E-Commerce Framework Using Leveled Learning Agents
نویسندگان
چکیده
The e-commerce is a good research area because it is well fit ted the application of agents that interact each other with autonomy in dynamic environment. The ability of learning is one important point as intelligent agent supporting autonomy. In this research we develop learning algorithm suited e-commerce characteristic. We classify agents by learning level and delegate agent business with this algorithm. We also organize e-commerce framework using these agents on multi-agent platform and let take a business as communicating with contract net protocol to negotiate, learning each other and show the practical.
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