The Logic of Qualitative Probability
Authors: James Delgrande, Bryan Renne
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper we present a theory of qualitative probability. ... We provide a sound and complete axiomatisation for this operator over finite outcome sets, and show that this theory is sufficiently powerful to capture the results of axiomatic probability theory. |
| Researcher Affiliation | Academia | James P. Delgrande School of Computing Science Simon Fraser University Burnaby, B.C., V5A 1S6 Canada jim@cs.sfu.ca Bryan Renne Vancouver, B.C., Canada bryan@renne.org |
| Pseudocode | No | The paper focuses on axiomatic theory and proofs, and does not include pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not mention or provide any links to open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not use or reference any datasets for training or evaluation. |
| Dataset Splits | No | The paper is theoretical and does not involve experimental data splits such as validation sets. |
| Hardware Specification | No | The paper is theoretical and does not describe any experimental setup or hardware used. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies with version numbers for experimental reproducibility. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup, hyperparameters, or training configurations. |