A taxonomy for argumentative frameworks based on labelled deduction

Artificial Intelligence has long dealt with the issue of finding a suitable formalization for reasoning with incomplete and potentially inconsistent information. Defeasible argumentation [SL92,CML00,PraVre99] has proven to be a successful approach in many respects, since it naturally resembles many...

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Detalles Bibliográficos
Autor principal: Chesñevar, Carlos Iván
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2001
Materias:
Ciencias Informáticas
defeasible argumentation
labelled deduction
knowledge representation
Frameworks
ARTIFICIAL INTELLIGENCE
Theory of Computation
Distributed Systems
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/21629
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

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