{"type":"ScholarlyArticle","title":"Scope and Abstraction: Two Criteria for Localized Planning","authors":[{"name":"Amy L. Lansky","slug":"amy-l-lansky","given":"Amy L.","family":"Lansky","affiliation":""},{"name":"Lise Getoor","slug":"lise-getoor","given":"Lise","family":"Getoor","affiliation":""}],"abstract":"Localization is a general-purpose representational technique for partitioning a problem into subproblems. A localized problem-solver searches several smaller search spaces, one for each subproblem. Unlike most methods of partitioning, however, localization allows for subproblems that overlap - i.e. multiple search spaces may be involved in constructing shared pieces of the overall plan. In this paper we focus on two criteria for forming localizations: scope and abstraction. We describe a method for automatically generating such localizations and provide empirical results that contrast their use in an office-building construction domain .","doi":null,"url":"https://ijcai.org/proceedings/1995/208","pdf":"https://ijcai.org/proceedings/1995/0208.pdf","markdown":"https://ijcai.org/proceedings/1995/208.md","bibtex":"https://ijcai.org/proceedings/1995/bibtex/208","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":"Planning","track":"Planning","number":208,"pages":{"first":1612,"last":1618},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}