Abstract
Abstract An interactive concept learning model is described. The model utilizes generalization and introspection techniques for building a set of concepts in the form of a context-sensitive associative network, and is able to describe its memory structure in simple English sentences. Four task domains are examined: contract bridge bidding, poker betting, learning of paired associates, and the diagnosis of liver disease.
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