{"type":"ScholarlyArticle","title":"Exploiting Domain Knowledge for Approximate Diagnosis","authors":[{"name":"Annette ten Teije","slug":"annette-ten-teije","given":"Annette","family":"ten Teije","affiliation":""},{"name":"Frank van Harmelen","slug":"frank-van-harmelen","given":"Frank","family":"van Harmelen","affiliation":""}],"abstract":"The AI literature contains many definitions of diagnostic reasoning most of which are defined in terms of the logical entailment relation. We use existing work on approximate entailment to define notions of approximation in diagnosis. We show how such a notion of approximate diagnosis can be exploited in various diagnostic strategies. We illustrate these strategies by performing diagnosis in a small car domain example.","doi":null,"url":"https://ijcai.org/proceedings/1997/67","pdf":"https://ijcai.org/proceedings/1997/0067.pdf","markdown":"https://ijcai.org/proceedings/1997/67.md","bibtex":"https://ijcai.org/proceedings/1997/bibtex/67","volume":{"slug":"1997","title":"Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1997","url":"https://ijcai.org/proceedings/1997/","year":1997,"location":"Nagoya, Japan","dates":"","editors":"Martha E. Pollack","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Diagnosis and Qualitative Reasoning","track":"Diagnosis and Qualitative Reasoning","number":67,"pages":{"first":454,"last":458},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}