Agent-based Model for Intelligent Shopping Assistant and its Application
نویسندگان
چکیده
With the rapid expansion of the Internet, the implementation of agent technology in electronic commerce (e-commerce) becomes very popular, which provides a promising field for the approach of agent and Artificial Intelligence technology. In this paper, we describe a multi-agent intelligent shopping assistant implemented in our EasyMall system, and present the agent-based model for intelligent shopping assistant. The user interacts with the agent by means of a text dialog, and the input texts are translated into agent communication language through XML. Thus it solves the problem of understanding natural language for agent in the virtual environments.
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تاریخ انتشار 2003