Abstract Argumentation

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Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (131 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Neuro-Argumentative Learning with Case-Based Reasoning
  21 May 2025 1 repository listed
  We introduce Gradual Abstract Argumentation for Case-Based Reasoning (Gradual AA-CBR), a data-driven, neurosymbolic classification model in which the outcome is determined by an argumentation debate structure that is…
• On the Structure of Game Provenance and its Applications
  7 Oct 2024 1 repository listed
  A game G=(V, E) consists of positions V and moves E and can be solved by computing the well-founded model of a single, unstratifiable rule: \[ \text{win}(X) \leftarrow \text{move}(X, Y), \neg \, \text{win}(Y).
• A Formalisation of Abstract Argumentation in Higher-Order Logic
  18 Oct 2021 1 repository listed
  We present an approach for representing abstract argumentation frameworks based on an encoding into classical higher-order logic.
• Deep Learning for Abstract Argumentation Semantics
  15 Jul 2020 1 repository listed
  In this paper, we present a learning-based approach to determining acceptance of arguments under several abstract argumentation semantics.
• MisGAN: Learning from Incomplete Data with Generative Adversarial Networks
  25 Feb 2019 1 repository listed Syntology ran 0 of 1 samples · 1 unverified
  Generative adversarial networks (GANs) have been shown to provide an effective way to model complex distributions and have obtained impressive results on various challenging tasks.
• An argumentative agent-based model of scientific inquiry
  13 Dec 2016 1 repository listed
  In this paper we present an agent-based model (ABM) of scientific inquiry aimed at investigating how different social networks impact the efficiency of scientists in acquiring knowledge.

Syntology lines on 1 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.