Case-Based Reasoning in Mixed Paradigm Settings and with Learning
Final rept. 15 Sep 1990-28 Feb 1994
MASSACHUSETTS UNIV AMHERST DEPT OF COMPUTER AND INFORMATION SCIENCE
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In this project we investigated 1 CBR in mixed paradigm settings, in particular in a blackboard-based system, called FRANK, that generated various types of explanations and arguments where supporting tasks, such as case-and rule-based reasoning, were dynamically configured to reflect the users intended purposes for the report 2 pure CBR, particularly issues concerning the use of multiple indices and types of case representations, in a system called BankXX. that used classic heuristic best-first search to retrieve information needed for case-based argument and 3 the application of machine learning techniques to core issues in CBR, such as the problems of learning indices and prototype cased and estimating concept theory drift.
- Computer Programming and Software