Title :
Large interactions of compiled and causal reasoning in diagnosis
Author :
Punch, William F., III
Author_Institution :
Dept. of Comput. Sci., Michigan State Univ., East Lansing, MI, USA
Abstract :
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.<>
Keywords :
artificial intelligence; knowledge based systems; medical diagnostic computing; causal reasoning; compiled reasoning; deep/model-based/fundamental type of system; diagnosis; diagnostic conclusions; functional-representation model; medical diagnosis system; reasoner; shallow/compiled/empirical type system; Chemicals; Diseases; Hospitals; Humans; Medical diagnosis; Medical diagnostic imaging; Nose; Problem-solving; Switches;
Journal_Title :
IEEE Expert
