Case-Based BDI Agents: An Effective Approach For Intelligent Search On the World Wide Web

Cindy Olivia, Chee-Fon Chang, Carlos F. Enguix, and Aditya K. Ghose

This paper describes a framework that integrates case-based reasoning capabilities in a BDI agent architecture as well as its application to the design of Web information retrieval agents. The research proposed in this paper generates two key insights. First, it shows that the integration of case-based reasoning in a BDI agent architecture is a non-trivial exercise that suggests interesting ways of building BDI agents with learning capabilities. Second, it demonstrates the efficacy of the resulting framework by presenting the design of intelligent Web information retrieval agents which are effective in well-demarcated domains.

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