A Parallel Inference Model for the Production System
一种产生式系统的并行推理模型

The production system is an effective method for knowledge representation. With the scale of its knowledgebase become larger,its inference efficiency turn lower. This paper analyzes the inference mechanism of the production system,and designs a partition algorithm and a parallel inference model called GPIM for the parallel processing of the production system on the architec-ture of the distributed multi-computer systems, they are more suited to the processing of large scale knowledgebase.