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KLM-Style Defeasible Reasoning for Datalog

In many problem domains, particularly those related to mathematics and philosophy, classical logic has enjoyed great success as a model of valid reasoning and discourse. For real-world reasoning tasks, however, an agent typically only has partial knowledge of its domain, and at most a statistical un...

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Main Author: Paterson-Jones, Guy
Other Authors: Meyer, Thomas
Format: Thesis
Language:English
Published: Department of Computer Science 2023
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access_status_str Open Access
author Paterson-Jones, Guy
author2 Meyer, Thomas
author_browse Meyer, Thomas
Paterson-Jones, Guy
author_facet Meyer, Thomas
Paterson-Jones, Guy
author_sort Paterson-Jones, Guy
collection Thesis
description In many problem domains, particularly those related to mathematics and philosophy, classical logic has enjoyed great success as a model of valid reasoning and discourse. For real-world reasoning tasks, however, an agent typically only has partial knowledge of its domain, and at most a statistical understanding of relationships between properties. In this context, classical inference is considered overly restrictive, and many systems for non-monotonic reasoning have been proposed in the literature to deal with these tasks. A notable example is the Klm framework, which describes an agent's defeasible knowledge qualitatively in terms of conditionals of the form “if A, then typically B”. The goal of this research project is to investigate Klm-style semantics for defeasible reasoning over Datalog knowledge bases. Datalog is a declarative logic programming language, designed for querying large deductive databases. Syntactically, it can be viewed as a computationally feasible fragment of firstorder logic, so this continues a recent line of work in which the Klm framework is lifted to more expressive languages.
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institution University of Cape Town (South Africa)
language eng
last_indexed 2026-06-10T12:31:50.330Z
license_str Not specified — see source repository
provenance_str_mv Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Department of Computer Science
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source_str UCTD — University of Cape Town Open Access Repository
spelling oai:open.uct.ac.za:11427/37738 KLM-Style Defeasible Reasoning for Datalog Paterson-Jones, Guy Meyer, Thomas Casini, Giovanni Computer Science In many problem domains, particularly those related to mathematics and philosophy, classical logic has enjoyed great success as a model of valid reasoning and discourse. For real-world reasoning tasks, however, an agent typically only has partial knowledge of its domain, and at most a statistical understanding of relationships between properties. In this context, classical inference is considered overly restrictive, and many systems for non-monotonic reasoning have been proposed in the literature to deal with these tasks. A notable example is the Klm framework, which describes an agent's defeasible knowledge qualitatively in terms of conditionals of the form “if A, then typically B”. The goal of this research project is to investigate Klm-style semantics for defeasible reasoning over Datalog knowledge bases. Datalog is a declarative logic programming language, designed for querying large deductive databases. Syntactically, it can be viewed as a computationally feasible fragment of firstorder logic, so this continues a recent line of work in which the Klm framework is lifted to more expressive languages. 2023-04-14T08:57:09Z 2023-04-14T08:57:09Z 2022 2023-04-14T07:45:39Z Master Thesis Masters MSc http://hdl.handle.net/11427/37738 eng application/pdf Department of Computer Science Faculty of Science
spellingShingle Computer Science
Paterson-Jones, Guy
KLM-Style Defeasible Reasoning for Datalog
thesis_degree_str Master's
title KLM-Style Defeasible Reasoning for Datalog
title_full KLM-Style Defeasible Reasoning for Datalog
title_fullStr KLM-Style Defeasible Reasoning for Datalog
title_full_unstemmed KLM-Style Defeasible Reasoning for Datalog
title_short KLM-Style Defeasible Reasoning for Datalog
title_sort klm style defeasible reasoning for datalog
topic Computer Science
url http://hdl.handle.net/11427/37738
work_keys_str_mv AT patersonjonesguy klmstyledefeasiblereasoningfordatalog