SRASS - A Semantic Relevance Axiom Selection System

  • Authors:
  • Geoff Sutcliffe;Yury Puzis

  • Affiliations:
  • University of Miami, USA;University of Miami, USA

  • Venue:
  • CADE-21 Proceedings of the 21st international conference on Automated Deduction: Automated Deduction
  • Year:
  • 2007

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Abstract

This paper describes the design, implementation, and testing of a system for selecting necessary axioms from a large set also containing superfluous axioms, to obtain a proof of a conjecture. The selection is determined by semantics of the axioms and conjecture, ordered heuristically by a syntactic relevance measure. The system is able to solve many problems that cannot be solved alone by the underlying conventional automated reasoning system.