Case-Based BDI Agents: An Effective Approach For Intelligent Search On the World Wide Web
Cindy Olivia, Chee-Fon Chang, Carlos F. Enguix, Aditya Ghose · 1999
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 that are effective in well-demarcated domains. 1. Motivation One of the main objectives of this research is to prove that the integration of case-based reasoning (CBR) with BDI (Belief-Desire-Intention) agent models improves the performance of currently deployed Web Information. Some of the full text-based Web IR systems support a set of advanced search features under the typical section known as "...