Combining quantitative and qualitative reasoning in defeasible argumentation

Labeled Deductive Systems (LDS) were developed as a rigorous but exible method- ology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes di erent existin...

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Detalles Bibliográficos
Autores principales: Chesñevar, Carlos Iván, Simari, Guillermo Ricardo
Formato: Objeto de conferencia
Lenguaje:Español
Publicado: 2002
Materias:
Ciencias Informáticas
Defeasible Argumentation
Quantitative Reasoning
Labelled Deductive Systems
ARTIFICIAL INTELLIGENCE
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/23110
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-23110
record_format dspace
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Español
topic Ciencias Informáticas
Defeasible Argumentation
Quantitative Reasoning
Labelled Deductive Systems
ARTIFICIAL INTELLIGENCE
spellingShingle Ciencias Informáticas
Defeasible Argumentation
Quantitative Reasoning
Labelled Deductive Systems
ARTIFICIAL INTELLIGENCE
Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
Combining quantitative and qualitative reasoning in defeasible argumentation
topic_facet Ciencias Informáticas
Defeasible Argumentation
Quantitative Reasoning
Labelled Deductive Systems
ARTIFICIAL INTELLIGENCE
description Labeled Deductive Systems (LDS) were developed as a rigorous but exible method- ology to formalize complex logical systems, such as temporal logics, database query languages and defeasible reasoning systems. LDSAR is a LDS-based framework for defeasible argumentation which subsumes di erent existing argumentation frameworks, providing a testbed for the study of dif- ferent relevant features (such as logical properties and ontological aspects, among others). This paper presents LDS AR, an extension of LDSAR that incorporates the ability to combine quantitative and qualitative features within a uni ed argumentative setting. Our approach involves the assignment of certainty factors to formulas in the knowl- edge base. These values are propagated when performing argumentative inference, o ering an alternative source of information for evaluating the strength of arguments in the dialectical analysis. We will also discuss some emerging logical properties of the resulting framework.
format Objeto de conferencia
Objeto de conferencia
author Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_facet Chesñevar, Carlos Iván
Simari, Guillermo Ricardo
author_sort Chesñevar, Carlos Iván
title Combining quantitative and qualitative reasoning in defeasible argumentation
title_short Combining quantitative and qualitative reasoning in defeasible argumentation
title_full Combining quantitative and qualitative reasoning in defeasible argumentation
title_fullStr Combining quantitative and qualitative reasoning in defeasible argumentation
title_full_unstemmed Combining quantitative and qualitative reasoning in defeasible argumentation
title_sort combining quantitative and qualitative reasoning in defeasible argumentation
publishDate 2002
url http://sedici.unlp.edu.ar/handle/10915/23110
work_keys_str_mv AT chesnevarcarlosivan combiningquantitativeandqualitativereasoningindefeasibleargumentation
AT simariguillermoricardo combiningquantitativeandqualitativereasoningindefeasibleargumentation
bdutipo_str Repositorios
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