Acceptability Semantics for Weighted Argumentation Frameworks

Acceptability Semantics for Weighted Argumentation Frameworks

Leila Amgoud, Jonathan Ben-Naim, Dragan Doder, Srdjan Vesic

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence

The paper studies semantics that evaluate arguments in argumentation graphs, where each argument has a basic strength, and may be attacked by other arguments. It starts by defining a set of principles, each of which is a property that a semantics could satisfy. It provides the first formal analysis and comparison of existing semantics. Finally, it defines three novel semantics that satisfy more principles than existing ones.
Keywords:
Agent-based and Multi-agent Systems: Agreement Technologies: Argumentation
Knowledge Representation, Reasoning, and Logic: Computational models of Argument