Accession Number : ADA315313
Title : Improving Accuracy by Combining Rule-Based and Case-Based Reasoning.
Descriptive Note : Research rept.,
Corporate Author : UNIVERSITY OF SOUTHERN CALIFORNIA MARINA DEL REY INFORMATION SCIENCES INST
Personal Author(s) : Golding, Andrew R. ; Rosenbloom, Paul S.
PDF Url : ADA315313
Report Date : DEC 1995
Pagination or Media Count : 49
Abstract : An architecture is presented for combining rule based and case based reasoning. The architecture is intended for domains that are understood reasonably well, but still imperfectly. It uses a set of rules, which are taken to be only approximately correct, to obtain a preliminary answer for a given problem; it then draws analogies from cases to handle exceptions to the rules. Having rules together with cases not only increases the architecture's domain coverage, it also allows innovative ways of doing case-based reasoning: the same rules that are used for rule-based reasoning are also used by the case-based component to do case indexing and case adaptation. The architecture was applied to the task of name pronunciation, and, with minimal knowledge engineering, was found to perform almost at the level of the best commercial systems. Moreover, its accuracy was found to exceed what it could have achieved with rules or cases alone, thus demonstrating the accuracy improvement afforded by combining rule-based and case-based reasoning.
Descriptors : *REASONING, *RULE BASED SYSTEMS, ACCURACY, INDEXES, ARCHITECTURE, ADAPTATION.
Subject Categories : Psychology
Distribution Statement : APPROVED FOR PUBLIC RELEASE