• DocumentCode
    2119513
  • Title

    Automated Theorem Finding by Forward Deduction Based on the Semi-lattice Model of Formal Theory: A Case Study in NBG Set Theory

  • Author

    Hongbiao Gao ; Goto, Yasunori ; Jingde Cheng

  • Author_Institution
    Dept. of Inf. & Comput. Sci., Saitama Univ., Saitama, Japan
  • fYear
    2013
  • fDate
    3-4 Oct. 2013
  • Firstpage
    22
  • Lastpage
    29
  • Abstract
    The problem of automated theorem finding is one of 33 basic research problems in automated reasoning which was originally proposed by Wos in 1988, and it is still an open problem. To solve the problem, a forward deduction approach based on the strong relevant logics was proposed. To verify the effectiveness of the approach, we tried to rediscover already known theorems in NBG set theory by using the approach, and succeeded in rediscovery of several known theorems. However, from the viewpoint of automated theorem finding, our method of the rediscovery is ad hoc, but not systematic. This paper proposes a systematic method based on the semi-lattice model of formal theory for deducing theorems and finding theorems which are two key phases of automated theorem finding. The paper presents a case study for automated theorem finding in NBG set theory and also shows some future research directions for automated theorem finding.
  • Keywords
    formal logic; set theory; theorem proving; NBG set theory; Neumann-Bernays-Godel set theory; automated reasoning; automated theorem finding; formal theory; forward deduction; semilattice model; strong relevant logic; systematic method; Abstracts; Cognition; Engines; Lattices; Semantics; Set theory; Systematics; Automated theorem finding; NBG set theory; forward deduction; strong relevant logic;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grids (SKG), 2013 Ninth International Conference on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/SKG.2013.36
  • Filename
    6816580