DocumentCode
2507910
Title
MCMR: a multiple rule firing production system model
Author
Kuo, Steve ; Moldovan, Dan ; Cha, Seungho
Author_Institution
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fYear
1991
fDate
30 Apr-2 May 1991
Firstpage
256
Lastpage
259
Abstract
The performance of production programs can be improved by firing multiple rules in a production cycle. Although considerable amount of research has been done on parallel processing of production programs, the problem of multiple rule firing has not been thoroughly investigated yet. The authors begin by identifying the problems associated with multiple rule firing systems: the compatibility problem and the convergence problem. They then present the multiple-contexts-multiple-rules (MCMR) model which addresses these two problems. A production program executed under the MCMR is guaranteed to reach a solution which is equivalent to the sequential execution. The MCMR model has been simulated on the RUBIC simulator, and speedups of 3.18 to 20.38-folds over sequential execution have been obtained
Keywords
inference mechanisms; knowledge based systems; parallel processing; compatibility; convergence; multiple rule firing production system model; multiple-contexts-multiple-rules; parallel processing; production programs; Data analysis; Fires; Parallel processing; Problem-solving; Production systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel Processing Symposium, 1991. Proceedings., Fifth International
Conference_Location
Anaheim, CA
Print_ISBN
0-8186-9167-0
Type
conf
DOI
10.1109/IPPS.1991.153788
Filename
153788
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