@inproceedings{d4b6ada30f7447b7a54d84a3a32c4931,
title = "Multi-Valued and Probabilistic Argumentation Frameworks",
abstract = "In this paper we further progress the analysis of the recently introduced multi-valued argumentation frameworks (MVAFs). MVAFs are an extension of Dung's abstract argumentation, where arguments have a degree of truth associated with them. Here we describe a list of properties of MVAFs considering the major multi-valued logics such as those proposed by Godel, Zadeh and Lukasiewicz. We then propose a computational framework that joins multi-valued and probabilistic argumentation frameworks to handle situations where arguments affected by vagueness and/or probabilities coexist. The findings are a contribution to the field of non-monotonic approximate reasoning and they also represent a well-grounded proposal towards the introduction of gradualism in argumentation systems.",
keywords = "abstract argumentation, Multi-valued logics, Probabilistic Reasoning",
author = "Pierpaolo Dondio",
note = "Publisher Copyright: {\textcopyright} 2014 The authors and IOS PressAll rights reserved.; 5th International Conference on Computational Models of Argument, COMMA 2014 ; Conference date: 09-09-2014 Through 12-09-2014",
year = "2014",
doi = "10.3233/978-1-61499-436-7-253",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "253--260",
editor = "Simon Parsons and Nir Oren and Chris Reed and Federico Cerutti",
booktitle = "Computational Models of Argument - Proceedings of COMMA 2014",
address = "Netherlands",
}