NDLI: Extensions to the parallel real-time artificial intelligence system (prais) for fault-tolerant heterogeneous cycle-stealing reasoning

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Extensions to the parallel real-time artificial intelligence system (prais) for fault-tolerant heterogeneous cycle-stealing reasoning

Content Provider	NASA Technical Reports Server (NTRS)
Author	Goldstein, David
Copyright Year	1991
Description	Extensions to an architecture for real-time, distributed (parallel) knowledge-based systems called the Parallel Real-time Artificial Intelligence System (PRAIS) are discussed. PRAIS strives for transparently parallelizing production (rule-based) systems, even under real-time constraints. PRAIS accomplished these goals (presented at the first annual C Language Integrated Production System (CLIPS) conference) by incorporating a dynamic task scheduler, operating system extensions for fact handling, and message-passing among multiple copies of CLIPS executing on a virtual blackboard. This distributed knowledge-based system tool uses the portability of CLIPS and common message-passing protocols to operate over a heterogeneous network of processors. Results using the original PRAIS architecture over a network of Sun 3's, Sun 4's and VAX's are presented. Mechanisms using the producer-consumer model to extend the architecture for fault-tolerance and distributed truth maintenance initiation are also discussed.
File Size	470503
Page Count	7
File Format	PDF
Alternate Webpage(s)	http://archive.org/details/NASA_NTRS_Archive_19920007377
Archival Resource Key	ark:/13960/t2q57hf84
Language	English
Publisher Date	1991-09-01
Access Restriction	Open
Subject Keyword	Computer Programming And Software Knowledge Bases Artificial Intelligence Protocol Computers Knowledge Representation Pattern Recognition Extensions Parallel Processing Computers Real Time Operation Distributed Processing Fault Tolerance Algorithms Message Processing C Programming Language Expert Systems Ntrs Nasa Technical Reports Server (ntrs) Nasa Technical Reports Server Aerodynamics Aircraft Aerospace Engineering Aerospace Aeronautic Space Science
Content Type	Text
Resource Type	Article

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