Abstract and Concrete Decision Graphs for Choosing Extensions of Argumentation Frameworks

Dauphin, Jérémie; Cramer, Marcos; van der Torre, Leon

Reference : Abstract and Concrete Decision Graphs for Choosing Extensions of Argumentation Frameworks


	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/36362

Title :	Abstract and Concrete Decision Graphs for Choosing Extensions of Argumentation Frameworks
Language :	English
Author, co-author :	Dauphin, Jérémie [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	Cramer, Marcos [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
	van der Torre, Leon [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC) >]
Publication date :	2018
Main document title :	Computational Models of Argument
Peer reviewed :	Yes
Event name :	Seventh International Conference on Computational Models of Argument
Event date :	12-14/09/2018
Keywords :	[en] abstract argumentation ; argumentation semantics ; extension selection
Abstract :	[en] Most argumentation semantics allow for multiple extensions, which raises the question of how to choose among extensions. We propose to study this question as a decision problem. Inspired by decision trees commonly used in economics, we introduce the notion of a decision graph for deciding between the multiple extensions of a given AF in a given semantics. We distinguish between abstract decision graphs and concrete instantiations thereof. Inspired by the principle-based approach to argumentation, we formulate two principles that mappings from argumentation frameworks to decision graphs should satisfy, the principles of decision-graph directionality and that of directional decision-making. We then propose a concrete instantiation of decision graphs, which satisfies one of these principles. Finally, we discuss the potential for further research based on this novel methodology.
Permalink :	http://hdl.handle.net/10993/36362

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