Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation

<p>In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheritance with overriding. They are formalisms for probabilistic reasoning from sets of strict logical, default logical, and default probabilistic sentences, which are parameterized through a val...

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Glavni autor: Lukasiewicz, T
Format: Journal article
Izdano: 2007
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author Lukasiewicz, T
author_facet Lukasiewicz, T
author_sort Lukasiewicz, T
collection OXFORD
description <p>In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheritance with overriding. They are formalisms for probabilistic reasoning from sets of strict logical, default logical, and default probabilistic sentences, which are parameterized through a value lambda in [0,1] that describes the strength of the inheritance of default probabilistic knowledge. In this paper, I continue this line of research. I give a precise picture of the complexity of deciding consistency of strength lambda and of computing tight consequences of strength lambda. Furthermore, I present algorithms for these tasks, which are based on reductions to the standard problems of deciding satisfiability and of computing tight logical consequences in model-theoretic probabilistic logic. Finally, I describe the system nmproblog, which includes a prototype implementation of these algorithms.</p>
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spelling oxford-uuid:796e83cf-fd8d-447b-a939-86b6e4b7daf82022-03-26T20:37:23ZNonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and ImplementationJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:796e83cf-fd8d-447b-a939-86b6e4b7daf8Department of Computer Science2007Lukasiewicz, T<p>In previous work, I have introduced nonmonotonic probabilistic logics under variable-strength inheritance with overriding. They are formalisms for probabilistic reasoning from sets of strict logical, default logical, and default probabilistic sentences, which are parameterized through a value lambda in [0,1] that describes the strength of the inheritance of default probabilistic knowledge. In this paper, I continue this line of research. I give a precise picture of the complexity of deciding consistency of strength lambda and of computing tight consequences of strength lambda. Furthermore, I present algorithms for these tasks, which are based on reductions to the standard problems of deciding satisfiability and of computing tight logical consequences in model-theoretic probabilistic logic. Finally, I describe the system nmproblog, which includes a prototype implementation of these algorithms.</p>
spellingShingle Lukasiewicz, T
Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title_full Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title_fullStr Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title_full_unstemmed Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title_short Nonmonotonic Probabilistic Logics under Variable−Strength Inheritance with Overriding: Complexity‚ Algorithms‚ and Implementation
title_sort nonmonotonic probabilistic logics under variable strength inheritance with overriding complexity algorithms and implementation
work_keys_str_mv AT lukasiewiczt nonmonotonicprobabilisticlogicsundervariablestrengthinheritancewithoverridingcomplexityalgorithmsandimplementation