A Two-Tiered Reasoning and Learning Architecture

Gennady Agre

The paper is an attempt to summarize the previous works of the author on integrating deductive and abductive reasoning paradigms for solving the classification task. A two-tiered reasoning and learning architecture in which Case-Based Reasoning (CBR) used both as a corrective of the solutions inferred by a deductive reasoning system and as a method for accumulating and refining knowledge is briefly described. As illustrative e~Amples the applications of the approach for problems of the case-bnsed maintenance of rnie-based systems and for case-based refinement of neural networks are presented.


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