Proceedings

Optimal Status Enforcement in Abstract Argumentation

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Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Pages 1216-1221.

Abstract

We present complexity results and algorithms for optimal status enforcement in abstract argumentation. Status enforcement is the task of adjusting a given argumentation framework (AF) to support given positive and negative argument statuses, i.e., to accept and reject specific arguments. We study optimal status enforcement as the problem of finding a structurally closest AF supporting given argument statuses. We establish complexity results for optimal status enforcement under several central AF semantics, develop constraint-based algorithms for NP and second-level complete variants of the problem, and empirically evaluate the procedures.

Andreas Niskanen, Johannes Peter Wallner, and Matti Järvisalo. 2016. Optimal Status Enforcement in Abstract Argumentation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, IJCAI-16. IJCAI, 1216–1221. https://ijcai.org/proceedings/2016/176
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