{"type":"ScholarlyArticle","title":"Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis","authors":[{"name":"Ildikó Flesch","slug":"ildiko-flesch","given":"Ildikó","family":"Flesch","affiliation":""},{"name":"Peter J. F. Lucas","slug":"peter-j-f-lucas","given":"Peter J. F.","family":"Lucas","affiliation":""},{"name":"Theo P. van der Weide","slug":"theo-p-van-der-weide","given":"Theo P.","family":"van der Weide","affiliation":""}],"abstract":"Consistency-based diagnosis concerns using a model of the structure and behaviour of a system in order to analyse whether or not the system is malfunctioning. A well-known limitation of consistency-based diagnosis is that it is unable to cope with uncertainty. Uncertainty reasoning is nowadays done using Bayesian networks. In this field, a conflict measure has been introduced to detect conflicts between a given probability distribution and associated data. In this paper, we use a probabilistic theory to represent logical diagnostic systems and show that in this theory we are able to determine consistent and inconsistent states as traditionally done in consistency-based diagnosis. Furthermore, we analyse how the conflict measure in this theory offers a way to favour particular diagnoses above others. This enables us to add uncertainty reasoning to consistency-based diagnosis in a seamless fashion.","doi":null,"url":"https://ijcai.org/proceedings/2007/59","pdf":"https://ijcai.org/proceedings/2007/0059.pdf","markdown":"https://ijcai.org/proceedings/2007/59.md","bibtex":"https://ijcai.org/proceedings/2007/bibtex/59","volume":{"slug":"2007","title":"Proceedings of the Twentieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2007","url":"https://ijcai.org/proceedings/2007/","year":2007,"location":"Hyderabad, India","dates":"","editors":"Ramon López de Mántaras","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":59,"pages":{"first":380,"last":-1},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}