An abstract, argumentation-theoretic approach to default reasoning
Artificial Intelligence
An Argumentation Framework of Reasoning about Actions and Change
LPNMR '99 Proceedings of the 5th International Conference on Logic Programming and Nonmonotonic Reasoning
Argumentation and the Dynamics of Warranted Beliefs in Changing Environments
Autonomous Agents and Multi-Agent Systems
Argumentation in artificial intelligence
Artificial Intelligence
Computing ideal sceptical argumentation
Artificial Intelligence
On principle-based evaluation of extension-based argumentation semantics
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
Using arguments for making and explaining decisions
Artificial Intelligence
ASPARTIX: Implementing Argumentation Frameworks Using Answer-Set Programming
ICLP '08 Proceedings of the 24th International Conference on Logic Programming
Argumentation Based Resolution of Conflicts between Desires and Normative Goals
Argumentation in Multi-Agent Systems
Computing Argumentation Semantics in Answer Set Programming
New Frontiers in Artificial Intelligence
Normative framework for normative system change
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1
Proceedings of the 2006 conference on Computational Models of Argument: Proceedings of COMMA 2006
Dynamics in Argumentation with Single Extensions: Abstraction Principles and the Grounded Extension
ECSQARU '09 Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
Dialectic proof procedures for assumption-based, admissible argumentation
Artificial Intelligence
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
ANGLE: An autonomous, normative and guidable agent with changing knowledge
Information Sciences: an International Journal
Weighted argument systems: Basic definitions, algorithms, and complexity results
Artificial Intelligence
Algorithms and complexity results for persuasive argumentation
Artificial Intelligence
Dynamics of argumentation systems: A division-based method
Artificial Intelligence
| Hi-index | 0.00 |
In various argumentation systems, under most of situations, only the justification status of some arguments of the systems should be evaluated, while that of other arguments is not necessary to be figured out. Based on this observation, we introduce an efficient method to evaluate the status of a part of arguments in an argumentation framework. This method is based on the notion of unattacked sets of an argumentation framework and the directionality criterion of argumentation semantics. Given an argumentation framework and a subset of arguments within it, we firstly identify the minimal set of arguments that are relevant to the arguments in this subset (called the minimal unattacked set). Then, under an argumentation semantics satisfying the directionality criterion, the set of extensions of the sub-framework induced by the minimal unattacked set (called a partial semantics of the original argumentation framework) can be evaluated independently. Then, we analyze two basic properties of the partial semantics of argumentation: monotonicity and combinability.