Extension Enforcement in Abstract Argumentation as an Optimization Problem
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Special Track on Knowledge Representation and Reasoning. Pages 2876-2881.
Abstract
Change in abstract argumentation frameworks (AFs) is a very active topic. Especially, the problem of enforcing a set E of arguments, i.e., ensuring that E is an extension (or a subset of an extension) of a given AF F, has received a particular attention in the recent years. In this paper, we define a new family of enforcement operators, for which enforcement can be achieved by adding new arguments (and attacks) to F (as in previous approaches to enforcement), but also by questioning some attacks (and non-attacks) of F. This family includes previous enforcement operators, but also new ones for which the success of the enforcement operation is guaranteed. We show how the enforcement problem for the operators of the family can be modeled as a pseudo-Boolean optimization problem. Intensive experiments show that the method is practical and that it scales up well.
@inproceedings{ijcai2015p407,
title = {Extension Enforcement in Abstract Argumentation as an Optimization Problem},
author = {Coste-Marquis, Sylvie and Konieczny, Sébastien and Mailly, Jean-Guy and Marquis, Pierre},
booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
Artificial Intelligence, {IJCAI-15}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Qiang Yang and Michael Wooldridge},
pages = {2876--2881},
year = {2015},
month = {7},
note = {Special Track on Knowledge Representation and Reasoning},
url = {https://ijcai.org/proceedings/2015/407},
}
TY - CPAPER TI - Extension Enforcement in Abstract Argumentation as an Optimization Problem AU - Coste-Marquis, Sylvie AU - Konieczny, Sébastien AU - Mailly, Jean-Guy AU - Marquis, Pierre T2 - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15 PB - International Joint Conferences on Artificial Intelligence PY - 2015 SP - 2876 EP - 2881 UR - https://ijcai.org/proceedings/2015/407 ER -Copied
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