Case-Based Reasoning: A Research Paradigm

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Abstract
Expertise comprises experience. In solving a new problem, we relay on past episodes. We need to remember what plans succeed and what plans fail. We need to know how to modify an old plan to fit a new situation. Case-based reasoning is a general paradigm for reasoning from experience. Case-based reasoning assumes a memory model for representing, indexing and organizing past cases, and a process model for retrieving and modifying old cases, and assimilating new ones. Case-based reasoning provides a scientific cognitive model. The research issues for case-based reasoning include representation of episodic knowledge, memory organization, indexing, planning, case modification, and learning. In addition, computer implementations of case-based reasoning address many of the technological short-comings of standard rule-based expert systems. These engineering concerns include knowledge acquisition and robustness.

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