{"type":"ScholarlyArticle","title":"Temporal Decision Trees or the lazy ECU vindicated","authors":[{"name":"Luca Console","slug":"luca-console","given":"Luca","family":"Console","affiliation":""},{"name":"Claudia Picardi","slug":"claudia-picardi","given":"Claudia","family":"Picardi","affiliation":""},{"name":"Daniele Theseider Dupré","slug":"daniele-theseider-dupre","given":"Daniele Theseider","family":"Dupré","affiliation":""}],"abstract":"The automatic generation of diagnostic decision trees from qualitative models is a reasonable compromise between the advantages of using a modelbased approach in technical domains and the constraints imposed by on-board applications. In this paper we extend the approach to deal with temporal information. We introduce a notion of temporal diagnostic decision tree, in which nodes have a temporal label providing temporal constraints on the observations, and we present an algorithm for compiling such trees from a model-based diagnostic system.","doi":null,"url":"https://ijcai.org/proceedings/2001/76","pdf":"https://ijcai.org/proceedings/2001/0076.pdf","markdown":"https://ijcai.org/proceedings/2001/76.md","bibtex":"https://ijcai.org/proceedings/2001/bibtex/76","volume":{"slug":"2001","title":"Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2001","url":"https://ijcai.org/proceedings/2001/","year":2001,"location":"Seattle, Washington, USA","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":76,"pages":{"first":null,"last":null},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}