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Found 6 papers, 1 papers with code
Argumentative Causal Discovery
Causal discovery amounts to unearthing causal relationships amongst features in data.
Contestable AI needs Computational Argumentation
AI has become pervasive in recent years, but state-of-the-art approaches predominantly neglect the need for AI systems to be contestable.
On the Correspondence of Non-flat Assumption-based Argumentation and Logic Programming with Negation as Failure in the Head
The relation between (a fragment of) assumption-based argumentation (ABA) and logic programs (LPs) under stable model semantics is well-studied.
Instantiations and Computational Aspects of Non-Flat Assumption-based Argumentation
We make use of a semantics-preserving translation between ABA and bipolar argumentation frameworks (BAFs).
Non-flat ABA is an Instance of Bipolar Argumentation
Assumption-based Argumentation (ABA) is a well-known structured argumentation formalism, whereby arguments and attacks between them are drawn from rules, defeasible assumptions and their contraries.
The Effect of Preferences in Abstract Argumentation Under a Claim-Centric View
In this paper, we study the effect of preferences in abstract argumentation under a claim-centric perspective.
