Extension Removal in Abstract Argumentation – An Axiomatic Approach

Authors: Ringo Baumann, Gerhard Brewka2670-2677

AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical Analogously to the well known AGM paradigm we develop an axiomatic approach to the removal problem, i.e. a certain set of axioms will determine suitable manipulations. We prove a series of formal results including conditional and unconditional existence and semantical uniqueness of removal operators as well as various impossibility results and show possible ways out.
Researcher Affiliation Academia Ringo Baumann, Gerhard Brewka Computer Science Institute, Leipzig University, Germany {baumann,brewka}@informatik.uni-leipzig.de
Pseudocode No The paper does not contain any pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statements or links indicating that open-source code for the methodology is available.
Open Datasets No This paper is theoretical and does not involve training on datasets.
Dataset Splits No This paper is theoretical and does not involve data splits for validation.
Hardware Specification No The paper focuses on theoretical contributions and does not mention any hardware specifications used for experiments.
Software Dependencies No The paper describes theoretical work and does not specify any software dependencies with version numbers for reproducibility.
Experiment Setup No The paper describes theoretical work and does not include details about an experimental setup, hyperparameters, or training configurations.