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Large interactions of compiled and causal reasoning in diagnosis

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1 Author(s)
Punch, W.F., III ; Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA

A medical diagnosis system that dynamically integrates two types of problem-solving agents to solve large problems is presented. It integrates a deep/model-based/fundamental type of system with a shallow/compiled/empirical type system. A functional-representation model serves as a deep reasoner, giving causal credence to diagnostic conclusions and finding interactions between partial conclusions that greatly reduce searches.<>

Published in:

IEEE Expert  (Volume:7 ,  Issue: 1 )