{"type":"ScholarlyArticle","title":"Stratified Case-Based Reasoning: Reusing Hierarchical Problem Solving Episodes","authors":[{"name":"Karl Branting","slug":"karl-branting","given":"Karl","family":"Branting","affiliation":""},{"name":"David W. Aha","slug":"david-w-aha","given":"David W.","family":"Aha","affiliation":""}],"abstract":"Stratified case-based reasoning is a technique in which abstract solutions produced during hierarchical problem solving are used to assist casebased retrieval, matching, and adaptation. We describe the motivation for the integration of case-based reasoning with hierarchical problem solving, exemplify its benefits, detail a set of algorithms that implement our approach, and present their comparative empirical evaluation on a path planning task. Our results show that stratified case-based reasoning significantly decreases the computational expense required to retrieve, match, and adapt cases, leading to performance superior both to simple case-based reasoning and to hierarchical problem solving ab initio","doi":null,"url":"https://ijcai.org/proceedings/1995/51","pdf":"https://ijcai.org/proceedings/1995/0051.pdf","markdown":"https://ijcai.org/proceedings/1995/51.md","bibtex":"https://ijcai.org/proceedings/1995/bibtex/51","volume":{"slug":"1995","title":"Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1995","url":"https://ijcai.org/proceedings/1995/","year":1995,"location":"Montréal, Québec, Canada","dates":"","editors":"Chris S. Mellish","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Case Based Reasoning","track":"Case Based Reasoning","number":51,"pages":{"first":384,"last":389},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}