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
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);
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2013 International Conference on
Conference_Location :
Tianjin
DOI :
10.1109/ICMLC.2013.6890877