{"type":"ScholarlyArticle","title":"On the Complexity of Extending Ground Resolution with Symmetry Rules","authors":[{"name":"Thierry Boy de la Tour","slug":"thierry-boy-de-la-tour","given":"Thierry Boy","family":"de la Tour","affiliation":""},{"name":"Stéphane Demri","slug":"stephane-demri","given":"Stephane","family":"Demri","affiliation":""}],"abstract":"One important issue of automated theorem proving is the complexity of the inference rules used in theorem provers. If Krishnamurty's general symmetry rule is to be used, then one should provide some way of computing non trivial symmetries. We show that this problem is NP-complete . But this general rule can be simplified by restricting it to what we callSsymmetries, yielding the well-known symmetry rule. We show that computing S-symmetries is in the same complexity class as the graph isomorphism problem, which appears to be neither polynomial nor NP-complete . However it is sufficient to compute the set of all S-symmetries at the beginning of the proof search, and since it is a permutation group, there exist some efficient techniques from computational group theory to represent this set . We also show how these techniques can be used for applying the S-symmetry rule in polynomial time.","doi":null,"url":"https://ijcai.org/proceedings/1995/38","pdf":"https://ijcai.org/proceedings/1995/0038.pdf","markdown":"https://ijcai.org/proceedings/1995/38.md","bibtex":"https://ijcai.org/proceedings/1995/bibtex/38","volume":{"slug":"1995","title":"Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 1995","url":"https://ijcai.org/proceedings/1995/","year":1995,"location":"Montréal, Québec, Canada","dates":"","editors":"Chris S. Mellish","isbn":"","publisher":"International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":"Automated Reasoning","track":"Automated Reasoning","number":38,"pages":{"first":289,"last":296},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}