Forgetting an Argument

Authors: Ringo Baumann, Dov Gabbay, Odinaldo Rodrigues2750-2757

AAAI 2020 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical Our approach is axiomatic-driven and not limited to any specific semantics: we propose semantical and syntactical desiderata encoding different criteria for what forgetting an argument might mean; analyze how these criteria relate to each other; and check whether the criteria can be satisfied in general. The analysis is done for a number of widely used argumentation semantics. Our investigation shows that almost all desiderata are individually satisfiable. However, combinations of semantical and/or syntactical conditions reveal a much more interesting landscape. For instance, we found that the ad hoc approach to forgetting an argument, i.e., by the syntactical removal of the argument and all of its associated attacks, is too restrictive and only compatible with the two weakest semantical desiderata. Amongst the several interesting combinations identified, we showed that one satisfies a notion of minimal change and presented an algorithm that given an AF F and argument x, constructs a suitable AF G satisfying the conditions in the combination.
Researcher Affiliation Academia Ringo Baumann Department of Computer Science Leipzig University Germany Dov Gabbay Department of Informatics King s College London United Kingdom Odinaldo Rodrigues Department of Informatics King s College London United Kingdom
Pseudocode Yes Algorithm 1: Construct G forgetstb(F,x)
Open Source Code No The paper does not provide any concrete access information (e.g., a specific repository link or an explicit statement of code release) for the methodology described.
Open Datasets No This paper is theoretical and does not use datasets for training, validation, or testing.
Dataset Splits No This paper is theoretical and does not involve dataset splits for validation.
Hardware Specification No This paper presents theoretical research and does not describe empirical experiments requiring hardware specifications.
Software Dependencies No This paper presents theoretical research and does not mention specific software dependencies with version numbers.
Experiment Setup No This paper presents theoretical research and does not include details on an experimental setup with hyperparameters or training settings.