Equitable Mechanism Design for Facility Location
Authors: Toby Walsh
IJCAI 2025 | Venue PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We first prove a simple but fundamental impossibility result that no strategy proof mechanism can bound the approximation ratio of the optimal Gini index of utilities for one or more facilities. Theorem 1. No strategy proof mechanism for locating one or more facilities on [0, 1] has a bounded approximation ratio for the Gini index of utilities. Proof. Suppose there exists a strategy proof mechanism for two agents with a bounded approximation ratio for locating a single facility. |
| Researcher Affiliation | Academia | Toby Walsh AI Institute, UNSW Sydney EMAIL |
| Pseudocode | No | The paper describes various mechanisms (e.g., LEFTMOST, MEDIAN, MIDORNEAREST, ENDPOINT) in textual descriptions, but it does not contain any structured pseudocode or algorithm blocks. |
| Open Source Code | No | The paper does not contain any explicit statements or links indicating the release of source code for the methodology described. |
| Open Datasets | No | The paper is theoretical, analyzing mechanisms for facility location on the real line [0, 1] with n agents, and does not use or refer to any specific publicly available datasets for experimental evaluation. |
| Dataset Splits | No | The paper is theoretical and does not use specific datasets; therefore, no information regarding dataset splits (e.g., training, test, validation) is provided. |
| Hardware Specification | No | The paper presents theoretical results and proofs for mechanism design problems and does not describe any experimental setup or hardware used for computations. |
| Software Dependencies | No | The paper is purely theoretical, focusing on mathematical proofs and analysis of mechanisms, and therefore does not list any software dependencies with specific version numbers. |
| Experiment Setup | No | The paper is entirely theoretical, presenting theorems and their proofs for various mechanism design properties. It does not describe any empirical experiments, and thus no experimental setup details like hyperparameters or training configurations are provided. |