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On relating abstract and structured probabilistic argumentation: a case study

Authors :
Prakken, H.
Antonucci, Alessandro
Cholvy, Laurence
Papini, Odile
Sub Intelligent Systems
Intelligent Systems
Source :
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10369, 69. Springer
Publication Year :
2017

Abstract

This paper investigates the relations between Timmer et al.'s proposal for explaining Bayesian networks with structured argumentation and abstract models of probabilistic argumentation. First some challenges are identified for incorporating probabilistic notions of argument strength in structured models of argumentation. Then it is investigated to what extent Timmer et al's approach meets these challenges and satisfies semantics and rationality conditions for probabilistic argumentation frameworks proposed in the literature. The results are used to draw conclusions about the strengths and limitations of both approaches.

Details

Language :
English
ISSN :
03029743
Database :
OpenAIRE
Journal :
Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 10369, 69. Springer
Accession number :
edsair.narcis........46721ce12d4738b272de2e98e136fa1b