Artificial Intelligence
Skepticism and floating conclusions
Artificial Intelligence
Defeasible reasoning with variable degrees of justification
Artificial Intelligence
Prudent Semantics for Argumentation Frameworks
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
SCC-recursiveness: a general schema for argumentation semantics
Artificial Intelligence
Comparing Argumentation Semantics with Respect to Skepticism
ECSQARU '07 Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Skepticism relations for comparing argumentation semantics
International Journal of Approximate Reasoning
Strong and Weak Forms of Abstract Argument Defense
Proceedings of the 2008 conference on Computational Models of Argument: Proceedings of COMMA 2008
On defense strength of blocking defeaters in admissible sets
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
Expanding Argumentation Frameworks: Enforcing and Monotonicity Results
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Splitting an argumentation framework
LPNMR'11 Proceedings of the 11th international conference on Logic programming and nonmonotonic reasoning
Hi-index | 0.01 |
In the context of Dung's theory of abstract argumentation frameworks, the comparison between different semantics is often carried out by resorting to some specific examples considered particularly meaningful. This kind of comparison needs to be complemented by more general evaluation criteria based on “example-independent” basic principles. We review several principles for argumentation semantics, identify their formal counterpart in terms of extensions, and analyze their relationships with the notion of argument justification state. Then, we evaluate and compare several semantics on the basis of the introduced principles.