Parallelism in production systems
Parallelism in production systems
TREAT: a better match algorithm for AI production systems
AAAI'87 Proceedings of the sixth National conference on Artificial intelligence - Volume 1
What have we learnt from using real parallel machines to solve real problems?
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
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The rule-based system has emerged as an important tool to developers of artificial intelligence programs. Because of the computational resources required to realize the MATCH-SELECT-EXECUTE cycle of rule-based systems, researchers have been trying to introduce parallelism into these systems for some time. We describe a new approach to parallel rule-based systems which exploits fine-grained hypercube hardware. The new algorithms for parallel rule matching and simultaneous execution of several rules at once are presented. Experimental results using a Connection Machine* implementation of BLITZ are presented.