Deep Inference for Automated Proof Tutoring?

  • Authors:
  • Christoph Benzmüller;Dominik Dietrich;Marvin Schiller;Serge Autexier

  • Affiliations:
  • Dept. of Computer Science, Saarland University, 66041 Saarbrücken, Germany and Computer Laboratory, The University of Cambridge, Cambridge, CB3 0FD, UK;Dept. of Computer Science, Saarland University, 66041 Saarbrücken, Germany;Dept. of Computer Science, Saarland University, 66041 Saarbrücken, Germany;Dept. of Computer Science, Saarland University, 66041 Saarbrücken, Germany and German Research Centre for Artifificial Intelligence (DFKI), Stuhlsatzenhausweg 3, 66123 Saarbrücken, Germa ...

  • Venue:
  • KI '07 Proceedings of the 30th annual German conference on Advances in Artificial Intelligence
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

茂戮驴MEGA [7], a mathematical assistant environment comprising an interactive proof assistant, a proof planner, a structured knowledge base, a graphical user interface, access to external reasoners, etc., is being developed since the early 90's at Saarland University. Similar to HOL4, Isabelle/HOL, Coq, or Mizar, the overall goal of the project is to develop a system platform for formal methods (not only) in mathematics and computer science. In 茂戮驴MEGA, user and system interact in order to produce verifiable and trusted proofs. By continously improving (not only) automation and interaction support in the system we want to ease the usually very tedious formalization and proving task for the user.