Weighted Abstract Dialectical Frameworks

Authors: Gerhard Brewka, Hannes Strass, Johannes Wallner, Stefan Woltran

AAAI 2018 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical In this paper we introduced a framework for defining weighted ADFs, a generalization of ADFs allowing to assign acceptance degrees to arguments. The framework is fully flexible regarding the choice of acceptance degrees and their associated information ordering. We have provided definitions of the main semantics and showed a number of properties together with a preliminary complexity analysis.
Researcher Affiliation Academia Gerhard Brewka, Hannes Strass Leipzig University, Computer Science Institute Leipzig, Germany Johannes P. Wallner, Stefan Woltran TU Wien, Institute of Information Systems Vienna, Austria
Pseudocode No The paper contains formal definitions and mathematical operators but no structured pseudocode or algorithm blocks.
Open Source Code No The paper does not provide any statements or links indicating the availability of open-source code for the described methodology.
Open Datasets No The paper is theoretical and does not conduct empirical studies that would involve using or making available a dataset.
Dataset Splits No The paper is theoretical and does not report on experiments that would require specifying training, validation, or test dataset splits.
Hardware Specification No The paper is theoretical and does not describe any specific hardware used for running experiments.
Software Dependencies No The paper is theoretical and does not list specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not describe an experimental setup, including hyperparameters or system-level training settings.