Data-driven parallel production systems: A macro actor/token implementation

Andrew Sohn, Jean Luc Gaudiot

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The importance of production systems in artificial intelligence has been repeatedly demonstrated by a number of expert systems. Much effort has therefore been expended on finding an efficient processing mechanism for processing production systems. Variable resolution actors, called macroactors, a processing mechanism for production systems, are studied. A macrotoken, which is a collection of primitive data tokens, is introduced as a companion to macroactors. An approach to obtaining medium-grain parallelism, called macroactor/token, is investigated. A set of guidelines is identified in the context of production systems to derive well-formed macroactors from primitive macroactors. Parallel pattern matching is written in macro actors/tokens to be executed on a macro-data-flow simulator. Simulation results demonstrate that the macro approach can be an efficient implementation of the production system paradigm.

Original languageEnglish (US)
Title of host publicationProc 5 IEEE Int Symp Intell Control 90
PublisherPubl by IEEE
Pages327-332
Number of pages6
ISBN (Print)0818621087
StatePublished - Dec 1 1990
Externally publishedYes
EventProceedings of the 5th IEEE International Symposium on Intelligent Control 1990 - Philadelphia, PA, USA
Duration: Sep 5 1990Sep 7 1990

Publication series

NameProc 5 IEEE Int Symp Intell Control 90

Other

OtherProceedings of the 5th IEEE International Symposium on Intelligent Control 1990
CityPhiladelphia, PA, USA
Period9/5/909/7/90

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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