Labeled Bipolar Argumentation Frameworks
نویسندگان
چکیده
منابع مشابه
Polarization and Bipolar Probabilistic Argumentation Frameworks
Discussion among individuals about a given issue often induces polarization and bipolarization effects, i.e. individuals radicalize their initial opinion towards either the same or opposite directions. Experimental psychologists have put forward Persuasive Arguments Theory (PAT) as a clue for explaining polarization. PAT claims that adding novel and persuasive arguments pro or contra the debate...
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Bipolar argumentation frameworks enable to represent two kinds of interaction between arguments: support and conflict. In this paper, we turn a bipolar argumentation framework into a “meta-argumentation” framework where conflicts occur between sets of arguments, characterized as coalitions of supporting arguments. So, Dung’s well-known semantics can be used on this metaargumentation framework i...
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Bipolar argumentation frameworks (BAFs) extend Dung’s argumentation frameworks to explicitly represent the notion of support between arguments, in addition to that of attack. BAFs can be profitably used to model disputes between two or more agents, with the aim of deciding the sets of arguments that should be accepted to support a point of view in a discussion. However, since new arguments, att...
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We describe a methodology for mining topic-dependent Bipolar Argumentation Frameworks (BAFs) from natural language text. Our focus is on identifying attack and support argumentative relations between texts about the same topic, treating these texts as arguments when they are argumentatively related to other texts. We illustrate our methodology on a dataset of hotel reviews and outline some poss...
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My thesis work aims to study change operations for argumentation systems, especially for abstract argumentation systems à la Dung. This paper presents a first study of the AGM revision adapted to the case of argumentation. We also sketch future research works planned to complete the one already achieved.
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ژورنال
عنوان ژورنال: Journal of Artificial Intelligence Research
سال: 2021
ISSN: 1076-9757
DOI: 10.1613/jair.1.12394