Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2026
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| _version_ | 1866911733720809472 |
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| author | Sadowski, Albert Chudziak, Jarosław A. |
| author_facet | Sadowski, Albert Chudziak, Jarosław A. |
| contents | The same arguments often need to be evaluated under different external regimes. An agent with influence over the regime has a strategic lever that standard formalisms do not directly capture. We introduce context-dependent argumentation frameworks (CDAFs), an extension of Dung's theory in which a defeat function determines, per context, which attacks succeed. A perspective-labeled specialisation derives the defeat function from a relevance set $ρ$ and a priority $π$. The relevance set is the agent's action space. In a small worked example, the agent's target argument is rejected under every full-relevance injective priority, yet accepted under partial activations, one of which no VAF audience can mirror. We define the corresponding decision problem, ACTIVATION-MANIPULATION, and record baseline complexity bounds. Tight bounds and multi-agent variants are left open. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_31581 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation Sadowski, Albert Chudziak, Jarosław A. Artificial Intelligence The same arguments often need to be evaluated under different external regimes. An agent with influence over the regime has a strategic lever that standard formalisms do not directly capture. We introduce context-dependent argumentation frameworks (CDAFs), an extension of Dung's theory in which a defeat function determines, per context, which attacks succeed. A perspective-labeled specialisation derives the defeat function from a relevance set $ρ$ and a priority $π$. The relevance set is the agent's action space. In a small worked example, the agent's target argument is rejected under every full-relevance injective priority, yet accepted under partial activations, one of which no VAF audience can mirror. We define the corresponding decision problem, ACTIVATION-MANIPULATION, and record baseline complexity bounds. Tight bounds and multi-agent variants are left open. |
| title | Choosing the Lens: Strategic Perspective Activation in Context-Dependent Argumentation |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2605.31581 |