Paper
29 March 1988 Parallelism In Rule-Based Systems
Arvind Sabharwal, S. Sitharama Iyengar, G. de Saussure, C. R Weisbin
Author Affiliations +
Abstract
Rule-based systems, which have proven to be extremely useful for several Artificial Intelligence and Expert Systems applications, currently face severe limitations due to the slow speed of their execution. To achieve the desired speed-up, this paper addresses the problem of parallelization of production systems and explores the various architectural and algorithmic possibilities. The inherent sources of parallelism in the production system structure are analyzed and the trade-offs, limitations and feasibility of exploitation of these sources of parallelism are presented. Based on this analysis, we propose a dedicated, coarse-grained, n-ary tree multiprocessor architecture for the parallel implementation of rule-based systems and then present algorithms for partitioning of rules in this architecture.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Arvind Sabharwal, S. Sitharama Iyengar, G. de Saussure, and C. R Weisbin "Parallelism In Rule-Based Systems", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.946995
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CITATIONS
Cited by 5 scholarly publications and 2 patents.
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KEYWORDS
Artificial intelligence

Rule based systems

Algorithm development

Evolutionary algorithms

Computing systems

Telecommunications

Chemical elements

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