title: Modeling diagnostic reasoning: a summary of parsimonious covering theory.
abstract: Parsimonious covering theory is a formal model of diagnostic reasoning. Diagnostic knowledge is represented in the theory as a network of causal associations, and problem-solving is represented in algorithms that support a hypothesize-and-test inference process. This paper summarizes in informal terms the basic ideas in parsimonious covering theory.
authors.affiliation: Department of Neurology, University of Maryland Hospital, Baltimore 21201.
authors.forename: J A
authors.initials: JA
authors.lastname: Reggia
authors.forename: Y
authors.initials: Y
authors.lastname: Peng
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003198:Computer Simulation; D003936:Diagnosis, Computer-Assisted; D011336:Probability