Ar. Golding et Ps. Rosenbloom, IMPROVING ACCURACY BY COMBINING RULE-BASED AND CASE-BASED REASONING, Artificial intelligence, 87(1-2), 1996, pp. 215-254
Citations number
41
Categorie Soggetti
Computer Sciences, Special Topics","Computer Science Artificial Intelligence",Ergonomics
An architecture is presented for combining rule-based and case-based r
easoning. 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 a
nswer for a given problem; it then draws analogies from cases to handl
e exceptions to the rules, Having rules together with cases not only i
ncreases 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 c
ase indexing and case adaptation. The architecture was applied to the
task of name pronunciation, and, with minimal knowledge engineering, w
as found to perform almost at the level of the best commercial systems
. Moreover, its accuracy was found to exceed what it could have achiev
ed with rules or cases alone, thus demonstrating the accuracy improvem
ent afforded by combining rule-based and case-based reasoning.