{"type":"ScholarlyArticle","title":"Combining Weak Learning Heuristics in General Problem Solvers","authors":[{"name":"Thomas Leo McCluskey","slug":"thomas-leo-mccluskey","given":"Thomas Leo","family":"McCluskey","affiliation":""}],"abstract":"This paper is concerned with state space problem solvers that achieve generality by learning strong heuristics through experience in a particular domain. We specifically consider two ways of learning by analysing past solutions that can improve future problem solving: creating macros and the chunks. A method of learning search heuristics is specified which is related to 'chunking' but which complements the use of macros within a goal directed system. An example of the creation and combined use of macros and chunks, taken from an implemented system, is described.","doi":null,"url":"https://ijcai.org/proceedings/1987/68","pdf":"https://ijcai.org/proceedings/1987/0068.pdf","markdown":"https://ijcai.org/proceedings/1987/68.md","bibtex":"https://ijcai.org/proceedings/1987/bibtex/68","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":"Knowledge Acquisition","track":"Knowledge Acquisition","number":68,"pages":{"first":331,"last":332},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}