{"type":"ScholarlyArticle","title":"A Computational Model of Analogical Problem Solving","authors":[{"name":"Jaime G. Carbonell","slug":"jaime-g-carbonell","given":"Jaime G.","family":"Carbonell","affiliation":""}],"abstract":"This paper outlines a theory of analogical reasoning based on a process-model of problem solving by analogy and the hypothesis that problem solving and learning are inalienable, concurrent processes in the human cognitive system . The analogical problem solver exploits prior experience in solving similar problems, and, in the process, augments a hierarchically-structured epsiodic long term memory . An analogical transformation process is developed based on a modified version of Means-Ends Analysis in order to map past solutions from similar problems into solutions satisfying the requirements of the new problem.","doi":null,"url":"https://ijcai.org/proceedings/1981/31","pdf":"https://ijcai.org/proceedings/1981/0031.pdf","markdown":"https://ijcai.org/proceedings/1981/31.md","bibtex":"https://ijcai.org/proceedings/1981/bibtex/31","volume":{"slug":"1981","title":"Proceedings of the Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1981","url":"https://ijcai.org/proceedings/1981/","year":1981,"location":"Vancouver, British Columbia, Canada","dates":"24-28 August 1981","editors":"Roger C. Schank","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Learning","track":"Learning","number":31,"pages":{"first":147,"last":151},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}