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Constrained Assumption-Based Argumentation Frameworks

arXiv 2602.13135 ↗First posted 13 Feb 2026cs.AI cs.LOcited by 0

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Abstract (arXiv)

Assumption-based Argumentation (ABA) is a well-established form of structured argumentation. ABA frameworks with an underlying atomic language are widely studied, but their applicability is limited by a representational restriction to ground (variable-free) arguments and attacks built from propositional atoms. In this paper, we lift this restriction and propose a novel notion of constrained ABA (CABA), whose components, as well as arguments built from them, may include constrained variables, ranging over possibly infinite domains. We define non-ground semantics for CABA, in terms of various notions of non-ground attacks. We show that the new semantics conservatively generalise standard ABA semantics.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 36 references that are in the map. First posted on arXiv 13 Feb 2026.

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References · 3

  1. 2018Constraint Answer Set Programming without Groundingcited by 38
  2. 2024Argumentative Causal Discoverycited by 3
  3. 2024Learning Brave Assumption-Based Argumentation Frameworks via ASPcited by 3

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