AGENTIC-SYSTEMSApril 28, 20261 min read9 views

On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation

Researchers explore the inverse problem in preference-based argumentation frameworks, demonstrating that finding preference relations for specific labellings is computationally efficient in most scenarios.

Computer Science > Artificial Intelligence

Title:On the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation

Preference-based argumentation frameworks (PAFs) extend Dung's approach to abstract argumentation (AAFs) by encoding preferences over arguments. Such preferences control the transformation of attacks into defeats, and different approaches to doing so result in different reductions from a PAF to an AAF. In this paper we consider a PAF inverse problem which takes an argumentation graph, a labelling and a semantics as an input, and outputs a "yes" or "no" as to whether there is a preference relation between the arguments which can yield the desired labelling. This inverse problem has applications in areas including preference elicitation and explainability. We consider this problem in the context of the four most widely-used preference based reductions under the complete semantics. We show that in most cases, the problem can be answered in polynomial time.

Source: arXiv cs.AI Recent

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