Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence 2017
DOI: 10.24963/ijcai.2017/9
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Acceptability Semantics for Weighted Argumentation Frameworks

Abstract: The paper studies semantics that evaluate arguments in argumentation graphs, where each argument has a basic strength, and may be attacked by other arguments. It starts by defining a set of principles, each of which is a property that a semantics could satisfy. It provides the first formal analysis and comparison of existing semantics. Finally, it defines three novel semantics that satisfy more principles than existing ones.

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Cited by 60 publications
(183 citation statements)
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“…The monotonicity property ensures that attacks cannot be beneficial for arguments. It is worth pointing out that this property is different from the monotony axiom from [Amgoud and Ben-Naim, 2016;Amgoud et al, 2017], which states the following: if the attackers of an argument a are also attackers of b, then a is at least as acceptable as b. This axiom assumes that a and b are in the same graph, thus the attackers of both arguments have fixed acceptability degrees.…”
Section: Definition 3 (Semantics)mentioning
confidence: 93%
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“…The monotonicity property ensures that attacks cannot be beneficial for arguments. It is worth pointing out that this property is different from the monotony axiom from [Amgoud and Ben-Naim, 2016;Amgoud et al, 2017], which states the following: if the attackers of an argument a are also attackers of b, then a is at least as acceptable as b. This axiom assumes that a and b are in the same graph, thus the attackers of both arguments have fixed acceptability degrees.…”
Section: Definition 3 (Semantics)mentioning
confidence: 93%
“…It was shown in [Amgoud and Ben-Naim, 2016] that hcategorizer is in accordance with Definition 3, and is syntaxindependent. We implemented this semantics, and run several experiments, which all show that the semantics is monotone.…”
Section: Examples Of Covered Semanticsmentioning
confidence: 98%
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