Rth. Chi et My. Kiang, REASONING BY COORDINATION - AN INTEGRATION OF CASE-BASED AND RULE-BASED REASONING SYSTEMS, Knowledge-based systems, 6(2), 1993, pp. 103-113
Citations number
19
Categorie Soggetti
System Science","Computer Applications & Cybernetics
A case-based reasoning system (CBRS) is appropriate for an experience-
rich domain, while a rule-based system performs reasonably well in a k
nowledge-rich application environment. A CBRS mainly uses past experie
nces as problem-solving tools, and therefore its capability can be lim
ited when previous experiences are not a good representation of the wh
ole population. On the other hand, a rule-based reasoning system needs
a well constructed domain theory as its reasoning basis, and it does
not make use of the knowledge embedded in past experiences. In the pap
er, a multiagent cooperative reasoning system (MCRS), which integrates
an inductive-reasoning agent (case-based reasoning system) and a dedu
ctive-reasoning agent (rule-based reasoning system), is proposed to so
lve problems through the cooperation of both agents. The architecture
and the inference mechanism of an MCRS are discussed in this paper. A
personnel-evaluation support system, based on the proposed MCRS archit
ecture and implemented in PROLOG, is presented to demonstrate the feas
ibility of using the MCRS to solve problems in a knowledge-poor and ex
perience-poor domain.