DocumentCode
693233
Title
1-minimal resolution principle based on lattice-valued propositional logic LP(X)
Author
Hairui Jia ; Yang Xu ; Yi Liu ; Huicong He
Author_Institution
Sch. of Math., Southwest Jiaotong Univ., Chengdu, China
Volume
04
fYear
2013
fDate
14-17 July 2013
Firstpage
1729
Lastpage
1734
Abstract
Based on the academic ideas of resolution-based automated reasoning and the previously established research work on binary a-resolution based automated reasoning schemes in the framework of lattice-valued logic with truth-values in a lattice algebraic structure - lattice implication algebras (LIA), this paper is focused on investigating α-n(t)-ary resolution based dynamic automated reasoning system based on lattice-valued propositional logic LP(X) based in LIA. One of key issues for α-n(t) ary resolution automated reasoning for LP(X) is how to choose generalized literals. In this paper, the definition of α-minimal resolution principle which determines how to choose generalized literals in LP(X) is introduced. Then, its soundness and completeness are proved. These results lay the foundation for research of α-n(t) ary resolution automated reasoning.
Keywords
inference mechanisms; process algebra; α-minimal resolution principle; α-n(t) ary resolution automated reasoning; α-resolution based automated reasoning schemes; LIA; dynamic automated reasoning system; lattice algebraic structure; lattice implication algebras; lattice-valued propositional logic; resolution-based automated reasoning; Abstracts; Lattices; ??-minimal resolution group; ??-minimal resolution principle; Automated reasoning; Lattice-valued propositional logic LP(X);
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location
Tianjin
Type
conf
DOI
10.1109/ICMLC.2013.6890877
Filename
6890877
Link To Document