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Extensions to the Parallel Real-Time Artificial Intelligence System (PRAIS) for fault-tolerant heterogeneous cycle-stealing reasoning
| Content Provider | Semantic Scholar |
|---|---|
| Author | Goldstein, David |
| Copyright Year | 1991 |
| Abstract | 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 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. Also, recently designed approaches and extensions, including improvements to RETE and an entirely new pattern matching algorithm to meet hardreal-time deadlines are discussed. This paper is deliberately presented at a high-level, discussing the real-time, fault-tolerance, and distributed nature of the architecture as more detailed descriptions of the work are available elsewhere [Gol90][GT91][Gol91]. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19920007377.pdf |
| Alternate Webpage(s) | http://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19920007377.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
