Mixed-Initiative Reasoning for Integrated Domain Modeling, Learning and Problem Solving

Abstract

The main challenge addressed by this research is the knowledge acquisition bottleneck defined as the difficulty of creating and maintaining a knowledge base that represents a model of the exp ertise domain that exists in the mind of a domain expert. The mixed-initiative approach we are investigating, called Disciple (Tecuci et al. 1999; Boicu et al., 2000), relies on developing a very capable agent that can collaborate with the domain expert to develop its knowledge base. In this approach both the agent and the expert are accorded responsibility for those elements of knowledge engineering for which they have the most aptitude, and together they form a complete team for knowledge base development. The domain modeling and problem solving approach is based on task reduction paradigm. The knowledge base to be developed consisting