Group Decision Making via Probabilistic Belief Merging
Authors: Nico Potyka, Erman Acar, Matthias Thimm, Heiner Stuckenschmidt
IJCAI 2016 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We propose a probabilistic-logical framework for group decision-making. All proofs have been moved to an online appendix1 to meet space restrictions. Even though we could not find a proof so far, there is some empirical evidence that the following conjecture is true. |
| Researcher Affiliation | Academia | Nico Potyka Univ. of Osnabr uck, Erman Acar Univ. of Mannheim, Matthias Thimm Univ. of Koblenz, Heiner Stuckenschmidt Univ. of Mannheim |
| Pseudocode | No | The paper does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described in this paper. |
| Open Datasets | No | The paper does not provide concrete access information (specific link, DOI, repository name, formal citation with authors/year, or reference to established benchmark datasets) for a publicly available or open dataset. It uses an illustrative 'Example 1' with made-up data. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (exact GPU/CPU models, processor types with speeds, memory amounts, or detailed computer specifications) used for running its experiments. |
| Software Dependencies | No | The paper does not provide specific ancillary software details (e.g., library or solver names with version numbers like Python 3.8, CPLEX 12.4) needed to replicate the experiment. |
| Experiment Setup | Yes | When applying p-norms other than the maximum norm, intuition suggests that the group beliefs will converge to the majority beliefs. If we employ the Manhattan norm, we have that Bi(C(a)) = [i 1, i 1] for i 2 N and that BG(C(a)) = [0, 1]. |