Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in [1].
Proportional Belief Merging
Authors: Adrian Haret, Martin Lackner, Andreas Pfandler, Johannes P. Wallner2822-2829
AAAI 2020 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | In this paper we introduce proportionality to belief merging. ... We analyze the proposed operators against established rationality postulates, finding that current approaches to proportionality from the field of social choice are, at their core, incompatible with standard rationality postulates in belief merging. We provide characterization results that explain the underlying conflict, and provide a complexity analysis of our novel operators. |
| Researcher Affiliation | Academia | Adrian Haret, Martin Lackner, Andreas Pfandler, Johannes P. Wallner EMAIL TU Wien Vienna, Austria |
| Pseudocode | No | The paper does not contain any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement about releasing open-source code or links to a code repository for their methods. |
| Open Datasets | No | The paper conducts theoretical analysis and provides illustrative examples, but does not use or refer to any publicly available datasets for training or evaluation. |
| Dataset Splits | No | The paper does not describe any experimental data splits for training, validation, or testing, as it focuses on theoretical contributions. |
| Hardware Specification | No | The paper describes theoretical work and complexity analysis; it does not mention any specific hardware used for experiments. |
| Software Dependencies | No | The paper does not mention specific software dependencies or version numbers. |
| Experiment Setup | No | The paper focuses on theoretical definitions, postulates, and complexity; it does not describe an experimental setup with hyperparameters or training configurations. |