Artificial Intelligence
SCC-recursiveness: a general schema for argumentation semantics
Artificial Intelligence
Computing ideal sceptical argumentation
Artificial Intelligence
An Algorithm for Computing Semi-stable Semantics
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
An Abstract Theory of Argumentation That Accommodates Defeasible Reasoning About Preferences
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Reasoning about preferences in argumentation frameworks
Artificial Intelligence
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Encompassing Attacks to Attacks in Abstract Argumentation Frameworks
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
On the issue of reinstatement in argumentation
JELIA'06 Proceedings of the 10th European conference on Logics in Artificial Intelligence
Review: an introduction to argumentation semantics
The Knowledge Engineering Review
On the complexity of probabilistic abstract argumentation
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Approximating operators and semantics for abstract dialectical frameworks
Artificial Intelligence
Algorithms for decision problems in argument systems under preferred semantics
Artificial Intelligence
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In the current paper, we re-examine the concept of stage semantics, which is one of the oldest semantics for abstract argumentation. Using a formal treatment of its properties, we explain how the intuition behind stage semantics differs from the intuition behind the admissibility based semantics that most scholars in argumentation theory are familiar with. We then provide a labelling-based algorithm for computing all stage extensions, based on earlier algorithms for computing all preferred, stable and semi-stable extensions.