• DocumentCode
    1133163
  • Title

    Introduction Tutorial on Resolution

  • Author

    Henschen, L.J.

  • Author_Institution
    Department of Computer Sciences, North-western University
  • Issue
    8
  • fYear
    1976
  • Firstpage
    769
  • Lastpage
    772
  • Abstract
    Automated theorem proving involves the programming of computers to perform logical (mathematical) deduction. This should not be confused with numerical calculation, in which operations that need to be performed can be exactly specified ahead of time as, for example, in Gaussian elimination. Rather, theorem provers search for proofs of statements given axioms describing the basic assumptions such as would occur in a modern algebra text on group theory. There are many theorem-proving programs that are based on ad hoc data representations and manipulations;many such techniques are derived by the programmer analyzing how he himself proves theorems. However, the most widely studied and best understood general method is based on the resolution principle for first-order logic of Robinson [9]. Indeed, all the papers in this issue have resolution as a starting point.
  • Keywords
    Algebra; Artificial intelligence; Automatic programming; Bibliographies; Conferences; Logic programming; Mathematical programming; Programming profession; Terminology; Tutorial;
  • fLanguage
    English
  • Journal_Title
    Computers, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9340
  • Type

    jour

  • DOI
    10.1109/TC.1976.1674695
  • Filename
    1674695