Strategic Perspective Activation in Context-Dependent Argumentation
A new paper introduces context-dependent argumentation frameworks (CDAFs), extending Dung's theory to model how an agent can strategically activate different perspectives to influence argument evaluation. The defeat function varies per context, and a perspective-labeled specialization derives it from a relevance set and priority. A worked example shows an agent's target argument rejected under full-relevance injective priorities but accepted under partial activations, a result unattainable by value-based argumentation frameworks (VAFs). The decision problem ACTIVATION-MANIPULATION is defined with baseline complexity bounds; tight bounds and multi-agent variants remain open.
Key facts
- CDAFs extend Dung's argumentation theory
- Defeat function determines which attacks succeed per context
- Perspective-labeled specialization uses relevance set ρ and priority π
- Agent's target argument rejected under full-relevance injective priorities
- Target accepted under partial activations
- No VAF audience can mirror the partial activation result
- ACTIVATION-MANIPULATION decision problem defined
- Baseline complexity bounds recorded; tight bounds and multi-agent variants open
Entities
Institutions
- arXiv