Please use this identifier to cite or link to this item:
doi:10.22028/D291-41002
Title: | [Omega]-MKRP : A Proof Development Environment |
Author(s): | Huang, Xiaorong Kerber, Manfred Kohlhase, Michael Melis, Erica Nesmith, Dan Richts, Jörn Siekmann, Jörg |
Language: | English |
Year of Publication: | 1992 |
Place of publication: | Saarbrücken |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | This report presents the main ideas underlying the Ω-MKRP-system, an environment for the development of mathematical proofs. The motivation for the development of this system comes from our extensive experience with traditional first-order theorem provers and aims to overcome some of their shortcomings. After comparing the benefits and drawbacks of existing systems, we propose a system architecture that combines the positive features of different types of theorem-proving systems, most notably the advantages of human-oriented systems based on methods (our version of tactics) and the deductive strength of traditional automated theorem provers. In Ω -MKRP a user first states a problem to be solved in a typed and sorted higher-order language (called POST) and then applies natural deduction inference rules in order to prove it. He can also insert a mathematical fact from an integrated database into the current partial proof, he can apply a domain-specific problem-solving method, or he can call an integrated automated theorem prover to solve a subproblem. The user can also pass the control to a planning component that supports and partially automates his long-range planning of a proof. Toward the important goal of user-friendliness, machine-generated proofs are transformed in several steps into much shorter, better-structured proofs that are finally translated into natural language. |
Link to this record: | urn:nbn:de:bsz:291--ds-410021 hdl:20.500.11880/37707 http://dx.doi.org/10.22028/D291-41002 |
Series name: | SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447] |
Series volume: | 92,22 |
Date of registration: | 24-May-2024 |
Faculty: | SE - Sonstige Einrichtungen |
Department: | SE - DFKI Deutsches Forschungszentrum für Künstliche Intelligenz |
Professorship: | SE - Sonstige |
Collections: | SciDok - Der Wissenschaftsserver der Universität des Saarlandes |
Files for this record:
File | Description | Size | Format | |
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SEKI-Report-SR-92-22_Huang-Kerber-Kohlhase-Melis-Nesmith-Richts-Siekmann_[Omega]=MKRP-A-Proof-Development-Environment.pdf | 1,5 MB | Adobe PDF | View/Open |
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