title: Inferential knowledge acquisition.
abstract: This paper describes the approach we are pursuing for modeling inferential processes in knowledge-based systems. It is aimed at overcoming the lack of generality affecting many of the systems described in the literature. This mainly happens since the problem-solving method adopted by those systems is too closely tied to the particular domain problem over which the method itself has been modeled. We also describe a system called M-KAT (Medical Knowledge Acquisition Tool) which is useful in simplifying the process of acquiring inferential knowledge. M-KAT relies on an epistemological model of medical reasoning which represents a generalization of most of the problem-solving methods adopted in medical knowledge-based systems. The metarules formalism has been adopted as a mean for representing inferential knowledge and making its acquisition easier, thus allowing the computational implementation of the epistemological model of medical reasoning.
authors.affiliation: Dipartimento di Informatica e Sistemistica, Universita degli Studi di Pavia, Italy.
authors.forename: G
authors.initials: G
authors.lastname: Lanzola
authors.forename: M
authors.initials: M
authors.lastname: Stefanelli
mesh_terms: D001185:Artificial Intelligence; D003658:Decision Making, Computer-Assisted; D006801:Humans; D008962:Models, Theoretical; D011340:Problem Solving