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Researchers propose novel splitting techniques for complex argumentation frameworks

By PulseAugur Editorial · [4 sources] ·

Two new papers explore advanced splitting techniques for argumentation frameworks to improve computational efficiency. The first paper focuses on Assumption-Based Argumentation Frameworks (ABAFs), proposing splitting on the knowledge base rather than its graph instantiation to handle computational complexity. The second paper introduces novel splitting methods for bipolar set-based argumentation frameworks (BSAFs), which incorporate both collective attacks and supports, generalizing existing techniques. AI

IMPACT These papers introduce novel computational techniques for argumentation frameworks, potentially improving the efficiency of AI systems that rely on logical reasoning and debate modeling.

RANK_REASON The cluster contains two academic papers published on arXiv.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 4 sources. How we write summaries →

Researchers propose novel splitting techniques for complex argumentation frameworks

COVERAGE [4]

  1. arXiv cs.AI TIER_1 English(EN) · Giovanni Buraglio, Wolfgang Dvorak, Stefan Woltran ·

    Splitting Assumption-Based Argumentation Frameworks

    arXiv:2604.27964v1 Announce Type: new Abstract: Assumption-Based Argumentation (ABA) is a well-established formalism for modelling and reasoning over debates, with a wide range of applications. However, the high computational complexity of core reasoning tasks in ABA poses a sign…

  2. arXiv cs.AI TIER_1 English(EN) · Matti Berthold, Lydia Bl\"umel, Giovanni Buraglio, Anna Rapberger ·

    Splitting Argumentation Frameworks with Collective Attacks and Supports

    arXiv:2604.28112v1 Announce Type: new Abstract: This work proposes novel splitting techniques for argumentation formalisms that incorporate supports between defeasible elements. We base our studies on bipolar set-based argumentation frameworks (BSAFs) which generalize argumentati…

  3. arXiv cs.AI TIER_1 English(EN) · Anna Rapberger ·

    Splitting Argumentation Frameworks with Collective Attacks and Supports

    This work proposes novel splitting techniques for argumentation formalisms that incorporate supports between defeasible elements. We base our studies on bipolar set-based argumentation frameworks (BSAFs) which generalize argumentation frameworks with collective attacks (SETAFs), …

  4. arXiv cs.AI TIER_1 English(EN) · Stefan Woltran ·

    Splitting Assumption-Based Argumentation Frameworks

    Assumption-Based Argumentation (ABA) is a well-established formalism for modelling and reasoning over debates, with a wide range of applications. However, the high computational complexity of core reasoning tasks in ABA poses a significant challenge for its applicability. This is…

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