Jian Zhong, Feng Cao, Guanfeng Wu, Yang Xu, Jun Liu
{"title":"Multi-clause synergized contradiction separation based first-order theorem prover — MC-SCS","authors":"Jian Zhong, Feng Cao, Guanfeng Wu, Yang Xu, Jun Liu","doi":"10.1109/ISKE.2017.8258793","DOIUrl":null,"url":null,"abstract":"After extending the term \"contradiction\" from the traditionally defined a complementary pair based on two clauses into a typical unsatisfiable clause set (i.e., a standard contradiction which might consist of more than two clauses), a recent work by the same author group proposes a new inference principle and its sound and complete first-order theory framework to escape from the existing static binary resolution into a dynamic Multi-Clause Synergized Contradiction Separation based inference rule, which is essentially different from the multi-ary resolution, but includes binary resolution as its special case. The corresponding first-order automated deduction system is called MC-SCS. This present work focuses on the MC-SCS's reasoning algorithm scheme, proof procedure, implementation, and experimental results. The empirical evaluation shows promising results compared with some state of art first-order theorem provers.","PeriodicalId":208009,"journal":{"name":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 12th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISKE.2017.8258793","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
After extending the term "contradiction" from the traditionally defined a complementary pair based on two clauses into a typical unsatisfiable clause set (i.e., a standard contradiction which might consist of more than two clauses), a recent work by the same author group proposes a new inference principle and its sound and complete first-order theory framework to escape from the existing static binary resolution into a dynamic Multi-Clause Synergized Contradiction Separation based inference rule, which is essentially different from the multi-ary resolution, but includes binary resolution as its special case. The corresponding first-order automated deduction system is called MC-SCS. This present work focuses on the MC-SCS's reasoning algorithm scheme, proof procedure, implementation, and experimental results. The empirical evaluation shows promising results compared with some state of art first-order theorem provers.