{"type":"ScholarlyArticle","title":"Model-Based Probabilistic Reasoning for Electronics Troubleshooting","authors":[{"name":"Richard R. Cantone","slug":"richard-r-cantone","given":"Richard R.","family":"Cantone","affiliation":""},{"name":"Frank J. Pipitone","slug":"frank-j-pipitone","given":"Frank J.","family":"Pipitone","affiliation":""},{"name":"W. Brent Lander","slug":"w-brent-lander","given":"W. Brent","family":"Lander","affiliation":""},{"name":"Michael P. Marrone","slug":"michael-p-marrone","given":"Michael P.","family":"Marrone","affiliation":""}],"abstract":"IN-ATE is an on-going project aimed at developing expert consultant systems for guiding a novice technician through each step of an electronics troubleshooting session . One goal of the project is to automatically produce, given a set of initial symptoms. a binary (pass /fail) decision tree of testpoints to be checked by the technician. This paper discusses our initial approach using a modified game tree search technique, the gam.ma miniaverage method . One of the parameters which guides this search technique - the cost of each test - is stored a priori . The two other parameters that guide it - the conditional probability of test outcomes and the proximity to a solution - are provided by a dynamic model of an expert troubleshooter's beliefs about what in the device is good and what is bad . This model of beliefs is updated using probabilistic \"test\"T'esult .... plausible-consequences\" rules. These rules are either provided by an expert technician. or approximated by a model-guided Rule Generator. The model that guides the generation of rules is a simple block diagram of the Unit Under Test (UUT) augmented with component failure rates.","doi":null,"url":"https://ijcai.org/proceedings/1983/49","pdf":"https://ijcai.org/proceedings/1983/0049.pdf","markdown":"https://ijcai.org/proceedings/1983/49.md","bibtex":"https://ijcai.org/proceedings/1983/bibtex/49","volume":{"slug":"1983","title":"Proceedings of the Eighth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1983","url":"https://ijcai.org/proceedings/1983/","year":1983,"location":"Karlsruhe, West Germany","dates":"","editors":"Alan Bundy","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Expert Systems","track":"Expert Systems","number":49,"pages":{"first":207,"last":210},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}