{"type":"ScholarlyArticle","title":"Faster Smarter Proof by Induction in Isabelle/HOL","authors":[{"name":"Yutaka Nagashima","slug":"yutaka-nagashima","given":"Yutaka","family":"Nagashima","affiliation":""}],"abstract":"We present sem_ind, a recommendation tool for proof by induction in Isabelle/HOL.\r\nGiven an inductive problem, sem_ind produces candidate arguments for proof by induction, and selects promising ones using heuristics.\r\nOur evaluation based on 1,095 inductive problems from 22 source files shows that sem_ind improves the accuracy of recommendation from 20.1% to 38.2% for the most promising candidates within 5.0 seconds of timeout compared to its predecessor while decreasing the median value of execution time from 2.79 seconds to 1.06 seconds.","doi":"10.24963/ijcai.2021/273","url":"https://ijcai.org/proceedings/2021/273","pdf":"https://ijcai.org/proceedings/2021/0273.pdf","markdown":"https://ijcai.org/proceedings/2021/273.md","bibtex":"https://ijcai.org/proceedings/2021/bibtex/273","volume":{"slug":"2021","title":"Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2021","url":"https://ijcai.org/proceedings/2021/","year":2021,"location":"Montreal","dates":"19-27 August 2021","editors":"Prof. Zhi-Hua Zhou","isbn":"978-0-9992411-9-6","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2021"},"section":"Knowledge Representation and Reasoning","track":"Main Track","number":273,"pages":{"first":1981,"last":1988},"keywords":["Multidisciplinary Topics and Applications: Validation and Verification","Knowledge Representation and Reasoning: Logics for Knowledge Representation","Knowledge Representation and Reasoning: Automated Reasoning and Theorem Proving","Heuristic Search and Game Playing: Meta-Reasoning and Meta-Heuristics"],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}