{"type":"ScholarlyArticle","title":"A Distributed Approach for Inferring Production Systems","authors":[{"name":"Ching-Chi Hsu","slug":"ching-chi-hsu","given":"Ching-Chi","family":"Hsu","affiliation":""},{"name":"Shao-Ming Wu","slug":"shao-ming-wu","given":"Shao-Ming","family":"Wu","affiliation":""},{"name":"Jan-Jan Wu","slug":"jan-jan-wu","given":"Jan-Jan","family":"Wu","affiliation":""}],"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.","doi":null,"url":"https://ijcai.org/proceedings/1987/12","pdf":"https://ijcai.org/proceedings/1987/0012.pdf","markdown":"https://ijcai.org/proceedings/1987/12.md","bibtex":"https://ijcai.org/proceedings/1987/bibtex/12","volume":{"slug":"1987","title":"Proceedings of the Tenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1987","url":"https://ijcai.org/proceedings/1987/","year":1987,"location":"Milan, Italy","dates":"","editors":"John McDermott","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Architectures and Languages","track":"Architectures and Languages","number":12,"pages":{"first":62,"last":66},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}