Artificial Intelligence
An assumption-based framework for non-monotonic reasoning
Proceedings of the second international workshop on Logic programming and non-monotonic reasoning
Artificial Intelligence
Argumentative logics: reasoning with classically inconsistent information
Data & Knowledge Engineering
Abstract argumentation systems
Artificial Intelligence
An abstract, argumentation-theoretic approach to default reasoning
Artificial Intelligence
A Reasoning Model Based on the Production of Acceptable Arguments
Annals of Mathematics and Artificial Intelligence
Coherence in finite argument systems
Artificial Intelligence
Inferring from Inconsistency in Preference-Based Argumentation Frameworks
Journal of Automated Reasoning
Prudent Semantics for Argumentation Frameworks
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Defining new argumentation-based semantics by minimal models
ENC '06 Proceedings of the Seventh Mexican International Conference on Computer Science
On the evaluation of argumentation formalisms
Artificial Intelligence
Argumentation in artificial intelligence
Artificial Intelligence
Argument based machine learning
Artificial Intelligence
Reasoning about preferences in argumentation frameworks
Artificial Intelligence
Skepticism relations for comparing argumentation semantics
International Journal of Approximate Reasoning
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
A dialectic procedure for sceptical, assumption-based argumentation
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Resolution-Based Argumentation Semantics
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
Bridging the Gap between Abstract Argumentation Systems and Logic
SUM '09 Proceedings of the 3rd International Conference on Scalable Uncertainty Management
SCC-recursiveness: a general schema for argumentation semantics
Artificial Intelligence
A general framework for argumentation-based negotiation
ArgMAS'07 Proceedings of the 4th international conference on Argumentation in multi-agent systems
ABA: Argumentation Based Agents
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law
Logical Tools for Modelling Legal Argument: A Study of Defeasible Reasoning in Law
Argumentation-Based reasoning with inconsistent knowledge bases
AI'10 Proceedings of the 23rd Canadian conference on Advances in Artificial Intelligence
Enhancing dung's preferred semantics
FoIKS'10 Proceedings of the 6th international conference on Foundations of Information and Knowledge Systems
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The emptiness problem of the preferred semantics and the non-existence problem of the stable semantics are well recognized for argumentation frameworks. In this paper, we introduce two strong semantics, named s-preferred semantics and s-stable semantics, to guarantee the non-emptiness of the preferred extensions and the existence of the stable extensions respectively. Our semantics are defined by two concepts of extensions of argumentation frameworks, namely s-preferred extension and s-stable extension. Each is constructed in a similar way to the original semantics. The novelty of our semantics is that an extension of an argumentation framework is considered as a pair of sets of arguments, in which the second element of an extension is viewed as a kind of hypotheses that should be minimized. The s-preferred semantics not only solves the emptiness problem of the preferred semantics, but also coincides with the preferred semantics when nonempty preferred extensions exist. Meanwhile, the s-stable semantics ensures the existence of extensions, and coincides with the stable semantics when the stable extensions exist as well. The relations among various semantics for argumentation frameworks are discussed.