%0 Journal Article
%T A Parallel Inference Model for the Production System<br>一种产生式系统的并行推理模型
%A Liao Minghong
%A <br>廖明宏
%A 郭福顺
%J 计算机科学
%D 1995
%I 
%X 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.
%K Production system
%K Parallel processing
%K Partition algorithm
%K Parallel inference model<br>人工智能
%K 产生式系统
%K 并行推理
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=CE3D34DEC7A03264A30B14983858FEF0&yid=BBCD5003575B2B5F&vid=BC12EA701C895178&iid=38B194292C032A66&sid=42425781F0B1C26E&eid=7C3A4C1EE6A45749&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0