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Deep Inference for Automated Proof Tutoring?

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KI 2007: Advances in Artificial Intelligence (KI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4667))

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Abstract

ΩMEGA [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 ΩMEGA, 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.

Funded by the DFG SFB378 (Project OMEGA) and by EPSRC under grant EP/D070511/1.

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Joachim Hertzberg Michael Beetz Roman Englert

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Benzmüller, C., Dietrich, D., Schiller, M., Autexier, S. (2007). Deep Inference for Automated Proof Tutoring?. In: Hertzberg, J., Beetz, M., Englert, R. (eds) KI 2007: Advances in Artificial Intelligence. KI 2007. Lecture Notes in Computer Science(), vol 4667. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74565-5_34

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  • DOI: https://doi.org/10.1007/978-3-540-74565-5_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74564-8

  • Online ISBN: 978-3-540-74565-5

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