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Abstract and Concrete Decision Graphs for Choosing Extensions of Argumentation Frameworks
Dauphin, Jérémie; Cramer, Marcos; van der Torre, Leon
2018In Computational Models of Argument
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Keywords :
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.
Disciplines :
Computer science
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)
External co-authors :
no
Language :
English
Title :
Abstract and Concrete Decision Graphs for Choosing Extensions of Argumentation Frameworks
Publication date :
2018
Event name :
Seventh International Conference on Computational Models of Argument
Event date :
12-14/09/2018
Main work title :
Computational Models of Argument
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 August 2018

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