AI RESEARCH
Splitting Argumentation Frameworks with Collective Attacks and Supports
arXiv CS.AI
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ArXi:2604.28112v1 Announce Type: new This work proposes novel splitting techniques for argumentation formalisms that incorporate s between defeasible elements. We base our studies on bipolar set-based argumentation frameworks (BSAFs) which generalize argumentation frameworks with collective attacks (SETAFs), as well as bipolar argumentation frameworks (BAFs), by incorporating both collective attacks and s. Notably, BSAFs establish a crucial link to structured argumentation as they naturally capture general (potentially non-flat) assumption-based argumentation.