Gradual Semantics for Weighted Graphs: An Unifying Approach

Leila Amgoud (1, 2) , Dragan Doder (1)

1 IRIT-ADRIA - Argumentation, Décision, Raisonnement, Incertitude et Apprentissage
2 CNRS - Centre National de la Recherche Scientifique

The paper bridges the gap between two general settings of gradual semantics for weighted argumentation graphs: the evaluation method setting (EMS) and the principle-based one (PBS). The former defines a semantics by three aggregation functions, each of which satisfies specific properties. The latter considers a semantics as any function that follows some high-level principles. The paper shows that (EMS) is one way of defining semantics that satisfy principles. Indeed, some principles follow from properties of aggregation functions.

Domaines: Intelligence artificielle [cs.AI]

Leila Amgoud, Dragan Doder. Gradual Semantics for Weighted Graphs: An Unifying Approach. 16th International Conference on Principles of Knowledge Representation and Reasoning (KR 2018), Oct 2018, Arizona, United States. pp.1-5. ⟨hal-02325825⟩