{"type":"ScholarlyArticle","title":"Model Compilation for Real-Time Planning and Diagnosis with Feedback","authors":[{"name":"Anthony Barrett","slug":"anthony-barrett","given":"Anthony","family":"Barrett","affiliation":""}],"abstract":"This paper describes MEXEC, an implemented micro executive that compiles a device model that can have feedback into a structure for subsequent evaluation. This system computes both the most likely current device mode from n sets of sensor measurements and the n-1 step reconfiguration plan that is most likely to result in reaching a target mode – if such a plan exists. A user tunes the system by increasing n to improve system capability at the cost of real-time performance.","doi":null,"url":"https://ijcai.org/proceedings/2005/223","pdf":"https://ijcai.org/proceedings/2005/0223.pdf","markdown":"https://ijcai.org/proceedings/2005/223.md","bibtex":"https://ijcai.org/proceedings/2005/bibtex/223","volume":{"slug":"2005","title":"Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2005","url":"https://ijcai.org/proceedings/2005/","year":2005,"location":"Edinburgh, Scotland, UK","dates":"","editors":"","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":223,"pages":{"first":1195,"last":1199},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}