• 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