Safe and sound: artificial intelligence in hazardous applications
Safe and sound: artificial intelligence in hazardous applications
Using arguments for making and explaining decisions
Artificial Intelligence
Arguing for decisions: a qualitative model of decision making
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Argument Theory Change Through Defeater Activation
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Change in abstract argumentation frameworks: adding an argument
Journal of Artificial Intelligence Research
Dynamics of argumentation systems: A division-based method
Artificial Intelligence
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Decision making amounts to define a preorder (usually a complete one) on a set of options. Argumentation has been introduced in decision making analysis. In particular, an argument-based decision system has been proposed recently by Amgoud et al. The system is a variant of Dung's abstract framework. It takes as input a set of options, different arguments and a defeat relation among them, and returns as outputs a status for each option, and a total preorder on the set of options. The status is defined on the basis of the acceptability of their supporting arguments. The aim of this paper is to study the revision of this decision system in light of a new argument. We will study under which conditions an option may change its status when a new argument is received and under which conditions this new argument is useless. This amounts to study how the acceptability of arguments evolves when the decision system is extended by new arguments.