On Rational Delegations in Liquid Democracy
Authors: Daan Bloembergen, Davide Grossi, Martin Lackner1796-1803
AAAI 2019 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We complement these theoretical results by means of agent-based simulations to study the effects of delegations on group s accuracy on variously structured social networks. |
| Researcher Affiliation | Academia | Daan Bloembergen Centrum Wiskunde & Informatica Amsterdam, The Netherlands Davide Grossi Bernoulli Institute University of Groningen Groningen, The Netherlands Martin Lackner TU Wien Vienna, Austria |
| Pseudocode | No | The paper describes methods and procedures in prose and uses mathematical equations, but it does not contain structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide concrete access to source code (e.g., a specific repository link or an explicit code release statement) for the methodology described. |
| Open Datasets | No | The paper states: "We generate graphs of size N = 250 of each of the four topologies random, regular, small world, and scale free, for different average degrees, while ensuring that the graph is connected." This describes the generation of synthetic data/networks based on models, not the use of or provision of a publicly available dataset. |
| Dataset Splits | No | The paper performs simulations and analyzes outcomes but does not describe specific training, validation, or testing dataset splits in the context of machine learning model evaluation. |
| Hardware Specification | No | The paper does not provide specific hardware details (e.g., 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) needed to replicate the experiment. |
| Experiment Setup | Yes | We generate graphs of size N = 250 of each of the four topologies random, regular, small world, and scale free, for different average degrees, while ensuring that the graph is connected. Agents accuracy and effort are initialized randomly with qi N(0.75, 0.05) and qi ei 0.5. We average results over 2500 simulations for each setting (25 randomly generated graphs 100 initializations). |