Combining and automating classical and non-classical logics in classical higher-order logics
Identifieur interne : 002738 ( Main/Exploration ); précédent : 002737; suivant : 002739Combining and automating classical and non-classical logics in classical higher-order logics
Auteurs : Christoph Benzmüller [États-Unis]Source :
- Annals of Mathematics and Artificial Intelligence [ 1012-2443 ] ; 2011-06-01.
English descriptors
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Abstract
Abstract: Numerous classical and non-classical logics can be elegantly embedded in Church’s simple type theory, also known as classical higher-order logic. Examples include propositional and quantified multimodal logics, intuitionistic logics, logics for security, and logics for spatial reasoning. Furthermore, simple type theory is sufficiently expressive to model combinations of embedded logics and it has a well understood semantics. Off-the-shelf reasoning systems for simple type theory exist that can be uniformly employed for reasoning within and about embedded logics and logics combinations. In this article we focus on combinations of (quantified) epistemic and doxastic logics and study their application for modeling and automating the reasoning of rational agents. We present illustrating example problems and report on experiments with off-the-shelf higher-order automated theorem provers.
Url:
DOI: 10.1007/s10472-011-9249-7
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: Numerous classical and non-classical logics can be elegantly embedded in Church’s simple type theory, also known as classical higher-order logic. Examples include propositional and quantified multimodal logics, intuitionistic logics, logics for security, and logics for spatial reasoning. Furthermore, simple type theory is sufficiently expressive to model combinations of embedded logics and it has a well understood semantics. Off-the-shelf reasoning systems for simple type theory exist that can be uniformly employed for reasoning within and about embedded logics and logics combinations. In this article we focus on combinations of (quantified) epistemic and doxastic logics and study their application for modeling and automating the reasoning of rational agents. We present illustrating example problems and report on experiments with off-the-shelf higher-order automated theorem provers.</div>
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