---
title: "A Distributed Approach for Inferring Production Systems"
authors:
  - "Ching-Chi Hsu"
  - "Shao-Ming Wu"
  - "Jan-Jan Wu"
doi: ""
url: "https://ijcai.org/proceedings/1987/12"
pdf: "https://ijcai.org/proceedings/1987/0012.pdf"
venue: "Proceedings of the Tenth International Joint Conference on Artificial Intelligence"
year: 1987
pages: "62-66"
track: "Architectures and Languages"
keywords:
---

# A Distributed Approach for Inferring Production Systems

Ching-Chi Hsu, Shao-Ming Wu, Jan-Jan Wu

*Proceedings of the Tenth International Joint Conference on Artificial Intelligence*, pages 62-66.

## Abstract

Tools for building production systems encounter the problem of low performance, and many researchers are working on the improvements of performance of th~se to?ls. This paper proposes a distribu~ed al?pr<?ach for mfen:ng production systems. The resultmg ~~s~buted productH;m systems are expected to be built over dtstnbuted ~ystems ~1th broadcast capability, and production rules on differc:nt ~ttes work in a cooperative way with only a few_c~mmumc~u.ons between them. Working memory on a local stte IS made vlSlble to rules on remote sites. A tool for building distributed production systems, called DPS, has been imp~emented . D~S not only supports elegant constructs for ~xpressmg th~ ~~pactty of distributed inference but also provtdes the facthttes for building clusters of rules. Wi~ these facilities, ~PS allows users to make the inference engme focus on a particular set of rules. This paper also describes the knowledge representation and other features about DPS.