INVESTIGADORES
CHESÑEVAR Carlos Ivan
capítulos de libros
Título:
Argument-Based User Support Systems using Defeasible Logic Programming
Autor/es:
CARLOS IVÁN CHESÑEVAR; ANA MAGUITMAN; GUILLERMO SIMARI,
Libro:
Artificial Intelligence Applications & Innovations
Editorial:
Springer
Referencias:
Lugar: Berlin; Año: 2006; p. 61 - 69
Resumen:
Over the last few years, argumentation has been gaining increasingimportance in several AI-related areas, mainly as a vehiclefor facilitating rationally justifiabledecision making when handling incomplete and potentially inconsistentinformation. In this setting, user support systemscan rely on argumentation techniques to automatizereasoning and decision making inseveral situations such as the handling of complexpolicies or managing change in dynamicenvironments.This paper presents a generic argument-based approachto characterize user support systems, in whichknowledge representation and inference arecaptured in terms of Defeasible Logic Programming,a general-purpose defeasible argumentation formalismbased on logic programming.We discuss a particular applicationwhich has emerged as an instance of this approachoriented towards providing user decision supportfor web search.
