Possibilistic Logic Underlies Abstract Dialectical Frameworks

Authors: Jesse Heyninck, Gabriele Kern-Isberner, Tjitze Rienstra, Kenneth Skiba, Matthias Thimm

IJCAI 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical As the semantics of ADFs are based on three-valued interpretations, we ask which monotonic three-valued logic allows to capture the main semantic concepts underlying ADFs. We show that possibilistic logic is the unique logic that can faithfully encode all other semantical concepts for ADFs.
Researcher Affiliation Academia Technische Universit at Dortmund, Dortmund, Germany, University of Cape Town and CAIR, South-Africa, Vrije Universiteit Brussel, Belgium, Open Universiteit Heerlen, The Netherlands, Maastricht University, The Netherlands, Fern Universit at Hagen, Germany
Pseudocode No The paper does not contain STRUCTURED PSEUDOCODE OR ALGORITHM BLOCKS.
Open Source Code No The paper does not provide CONCRETE ACCESS TO SOURCE CODE for the methodology described in this paper.
Open Datasets No This is a theoretical paper and does not involve the use of datasets for training or evaluation.
Dataset Splits No This is a theoretical paper and does not describe any dataset splits (train, validation, test).
Hardware Specification No The paper is theoretical and does not describe any experiments requiring specific hardware details.
Software Dependencies No The paper is theoretical and does not mention specific software dependencies with version numbers for reproducing experiments.
Experiment Setup No The paper is theoretical and does not describe any experimental setup details, hyperparameters, or training configurations.