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 Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..
Variations on the Hotelling-Downs Model
Authors: Michal Feldman, Amos Fiat, Svetlana Obraztsova
AAAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We analyze the resulting model and show that pure Nash equilibria always exist (see Section 3); With respect to the measure of client participation, we consider bounds on the Price of Anarchy (PoA). We provide detailed bounds as a function of the size of the attraction interval of an agent, and the agent utility function. |
| Researcher Affiliation | Academia | Michal Feldman and Amos Fiat Department of Computer Science Tel-Aviv University, Israel Svetlana Obraztsova I-CORE Hebrew University of Jerusalem, Israel |
| Pseudocode | No | The paper is theoretical and presents mathematical models, theorems, and proofs, but it does not include any pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not provide any statement or link indicating that source code for the described models or analyses is publicly available. |
| Open Datasets | No | The paper refers to a theoretical distribution of clients ("a continuum of clients are distributed along the interval [0, 1] according to a known density function f(x)") rather than an empirical dataset, and therefore does not provide access information for a publicly available dataset. |
| Dataset Splits | No | The paper is theoretical and does not involve empirical datasets or their partitioning into train/validation/test splits. |
| Hardware Specification | No | The paper is theoretical and does not describe computational experiments that would require hardware specifications. Therefore, no hardware details are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe computational experiments that would require specific software dependencies or version numbers for replication. |
| Experiment Setup | No | The paper is theoretical and does not describe empirical experiments, therefore it does not include details about an "experiment setup" or hyperparameters. |