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Knowledge Based Solution Strategies in Medical Reasoning
Author(s) -
Patel Vimla L.,
Groen Guy J.
Publication year - 1986
Publication title -
cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.498
H-Index - 114
eISSN - 1551-6709
pISSN - 0364-0213
DOI - 10.1207/s15516709cog1001_4
Subject(s) - medical diagnosis , causal reasoning , computer science , knowledge base , cognitive psychology , stimulus (psychology) , artificial intelligence , natural language processing , cognitive science , psychology , cognition , medicine , neuroscience , pathology
The techniques of propositionol analysis are used to examine the protocols of seven cardiologists in a task involving the diagnosis of a case of acute bacterial endocarditis and an explanation of its underlying pathophysiology. It is shown that the explanations of physicians making an accurate diagnosis can be accounted for in terms of a model consisting of pure forward reasoning through a network of causal rules, actuated by relevant propositions embedded in the stimulus text. These rules appear to derive from the physician's underlying knowledge base rather than any information in the text itself. In contrast, subjects with inacurate diagnoses tend to make use of a mixture of forward and backward reasoning, beginning with a high level hypothesis and proceeding in a top‐down fashion to the propositions embedded in stimulus text, or to the generation of irrelevant rules.

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