Please use this identifier to cite or link to this item:
doi:10.22028/D291-40439
Title: | An Approach to Assertion Application via Generalised Resolution |
Author(s): | Vo, Quoc Bao Benzmüller, Christoph Autexier, Serge |
Language: | English |
Year of Publication: | 2003 |
Place of publication: | Saarbrücken |
DDC notations: | 004 Computer science, internet |
Publikation type: | Report |
Abstract: | In this paper we address assertion retrieval and application in theorem proving systems or proof planning systems for classical first-order logic. Due to Huang the notion of assertion comprises mathematical knowledge such as definitions, theorems, and axioms. We propose a distributed mediator module between a mathematical knowledge base KB and a theorem proving system TP which is independent of the particular proof representation format of TP and which applies generalised resolution in order to analyze the logical consequences of arbitrary assertions for a proof context at hand. Our approach is applicable also to the assumptions which are dynamically created during a proof search process. It therefore realises a crucial first step towards full automation of assertion level reasoning. We discuss the benefits and connection of our approach to proof planning and motivate an application in a project aiming at a tutorial dialogue system for mathematics. |
Link to this record: | urn:nbn:de:bsz:291--ds-404390 hdl:20.500.11880/36419 http://dx.doi.org/10.22028/D291-40439 |
Series name: | SEKI-Report / Deutsches Forschungszentrum für Künstliche Intelligenz, DFKI [ISSN 1437-4447] |
Series volume: | 2003,1 |
Date of registration: | 18-Sep-2023 |
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-2003-01_Vo-Benzmüller-Autexier_An-Approach-to-Assertion-Application-via-Generalised-Resolution.pdf | 19,71 MB | Adobe PDF | View/Open |
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