{"type":"ScholarlyArticle","title":"A Universal Weak Method: Summary of Results","authors":[{"name":"John E. Laird","slug":"john-e-laird","given":"John E.","family":"Laird","affiliation":""},{"name":"Allen Newell","slug":"allen-newell","given":"Allen","family":"Newell","affiliation":""}],"abstract":"Th e weak me thod s occur pervasively in AI systems and may form t11 e basic methods for all intellig e nt systems. The purpose of this paper is to characterize the weak method s and to ex plain how and w hy they arise in intelligent systems. We propo se an organization, cal led a universal weak me/hod. that provid es functionalit y of all the weak methods . A universal weak meti10d is an organizational sc heme for knowledge th at produces the appropriate search behav ior given th e available ta sk-do main knowl edge. We present a prob lem solving architecture in which we realize a universal weak method . We also demonstrate the universal weak method with a. variety of weak methods on a set of tasks.","doi":null,"url":"https://ijcai.org/proceedings/1983/186","pdf":"https://ijcai.org/proceedings/1983/0186.pdf","markdown":"https://ijcai.org/proceedings/1983/186.md","bibtex":"https://ijcai.org/proceedings/1983/bibtex/186","volume":{"slug":"1983","title":"Proceedings of the Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1983","url":"https://ijcai.org/proceedings/1983/","year":1983,"location":"Karlsruhe, West Germany","dates":"","editors":"Alan Bundy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Planning and Search","track":"Planning and Search","number":186,"pages":{"first":771,"last":772},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}