A Logic for Reasoning about Justified Uncertain Beliefs
Authors: Tuan-Fang Fan, Churn-Jung Liau
IJCAI 2015 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | The objective of this paper is to extend the graded modal logics with explicit justiļ¬cations. We introduce a possibilistic justiļ¬cation logic, present its syntax and semantics, and investigate its meta-properties, such as soundness, completeness, and realizability. |
| Researcher Affiliation | Academia | Tuan-Fang Fan Department of CSIE, National Penghu University of Science and Technology, Penghu 880, Taiwan dffan@npu.edu.tw Churn-Jung Liau Institute of Information Science, Academia Sinica, Taipei 115, Taiwan liaucj@iis.sinica.edu.tw |
| Pseudocode | No | The paper focuses on theoretical logic and formal systems, and does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any information about open-source code for the described methodology, nor does it include links to a code repository. |
| Open Datasets | No | The paper is theoretical and does not involve datasets or training procedures, therefore no information about publicly available training data is provided. |
| Dataset Splits | No | The paper is theoretical and does not describe dataset splits for validation, as it does not conduct experiments with data. |
| Hardware Specification | No | The paper is theoretical and does not mention any hardware specifications used for experiments. |
| Software Dependencies | No | The paper is theoretical and does not mention any specific software dependencies with version numbers. |
| Experiment Setup | No | The paper is theoretical and does not detail an experimental setup or hyperparameters, as it does not report on experiments. |