Finite Based Contraction and Expansion via Models

Authors: Ricardo GuimarĂ£es, Ana Ozaki, Jandson S. Ribeiro

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

Reproducibility Variable Result LLM Response
Research Type Theoretical We propose a new paradigm for Belief Change in which the new information is represented as sets of models, while the agent s body of knowledge is represented as a finite set of formulae, that is, a finite base. ... In this setting, we define new Belief Change operations akin to traditional expansion and contraction, and we identify the rationality postulates that emerge due to the finite representability requirement. We also analyse different logics concerning compatibility with our framework. ... In Section 5, we analyse different logics and the ability to define model change operations following our paradigm.
Researcher Affiliation Academia Ricardo Guimar aes1, Ana Ozaki1, Jandson S. Ribeiro2 1 University of Bergen 2 University of Hagen
Pseudocode No The paper includes definitions, theorems, and propositions, but no pseudocode or clearly labeled algorithm blocks.
Open Source Code No The paper does not provide any statement or link indicating that the source code for the described methodology is open-source or publicly available.
Open Datasets No The paper is theoretical and does not involve empirical training or the use of datasets. Therefore, it does not provide information about public dataset availability for training.
Dataset Splits No The paper is theoretical and does not involve empirical validation on datasets. Therefore, it does not provide information about training/test/validation dataset splits.
Hardware Specification No The paper is theoretical and does not describe any computational experiments that would require specific hardware. Thus, no hardware specifications are provided.
Software Dependencies No The paper is theoretical and does not describe computational experiments. Therefore, it does not list specific software dependencies with version numbers.
Experiment Setup No The paper is theoretical and does not involve experimental setups or hyperparameters. Therefore, it does not provide details on such configurations.