Conditional Syntax Splitting for Non-monotonic Inference Operators

Authors: Jesse Heyninck, Gabriele Kern-Isberner, Thomas Meyer, Jonas Philipp Haldimann, Christoph Beierle

AAAI 2023 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Theoretical The contributions of the paper are the following: 1. We introduce and study the notion of conditional splitting of a belief base...; 2. We show that lexicographic entailment and system W satisfy conditional syntax splitting; 3. We show that the drowning effect can be seen as a violation of conditional syntax splitting. (This section outlines the conceptual and formal contributions, typical of theoretical work, without mentioning empirical studies or data analysis.)
Researcher Affiliation Academia Jesse Heyninck1, Gabriele Kern-Isberner2, Thomas Meyer3,4, Jonas Philipp Haldimann5, Christoph Beierle5 1 Open Universiteit, the Netherlands 2 Technische Universit at Dortmund, Germany 3University of Cape Town and CAIR, South-Africa 4 Centre for Artificial Intelligence Research (CAIR), South-Africa 5 Fern Universit at in Hagen, Germany
Pseudocode No The paper is theoretical, focusing on logical definitions, propositions, and theorems. It does not include any pseudocode or algorithm blocks.
Open Source Code No The paper is theoretical and does not mention the release of any source code or provide links to repositories.
Open Datasets No The paper is theoretical and does not describe experiments that use datasets for training or evaluation. Examples, like the 'Tweety example', are illustrative rather than empirical datasets.
Dataset Splits No The paper is theoretical and does not describe any dataset splits for training, validation, or testing.
Hardware Specification No The paper is theoretical and does not involve computational experiments, thus no hardware specifications are mentioned.
Software Dependencies No The paper is theoretical and does not describe any software implementations or list software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not include details about an experimental setup, such as hyperparameters or training configurations.