Various cognitive and computational models have addressed the use of previous experience to understand a new domain. In particular, research in case-based reasoning has explored the ideas of retrieving and adapting previous experience in the form of cases. If the cases take the form of plans, the process is referred to as case-based planning. We have developed a computational model of Exploratory Discovery which integrates case-based reasoning and case-based planning. Motivated by results from cognitive science, we incorporated in this model the features of exploration and self-questioning to improve the case-based learning process. This paper will focus on the index vocabulary needed to accomplish the interaction between the case-based generation of self-questions and the case-based experimentation process. The interaction depends on questions asked, answers given, and previously performed experiments. Interaction is therefore situated.
Rüdiger Oehlmann, Peter Edwards, Derek H. Sle