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..
A Characterization of n-Player Strongly Monotone Scheduling Mechanisms
Authors: Annamaria Kovacs, Angelina Vidali
IJCAI 2015 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | Our work deals with the important problem of globally characterizing truthful mechanisms where players have multi-parameter, additive valuations, like scheduling unrelated machines or additive combinatorial auctions. We characterize truthful mechanisms for n players and 2 tasks or items, as either task-independent, or a player-grouping minimizer, a new class of mechanisms we discover, which generalizes afο¬ne minimizers. |
| Researcher Affiliation | Academia | Annam aria Kov acs Department of Informatics Goethe University, Frankfurt M., Germany. EMAIL; Angelina Vidali Pierre and Marie Curie University, UPMC-LIP6, France. EMAIL |
| Pseudocode | No | No structured pseudocode or algorithm blocks were found in the paper. |
| Open Source Code | No | The paper does not provide an explicit statement or link to open-source code for the described methodology. |
| Open Datasets | No | The paper is theoretical and does not describe training on a dataset. |
| Dataset Splits | No | The paper is theoretical and does not describe dataset splits for validation. |
| Hardware Specification | No | The paper is theoretical and does not describe experiments, thus no hardware specifications are provided. |
| Software Dependencies | No | The paper is theoretical and does not describe experiments or software dependencies with specific version numbers. |
| Experiment Setup | No | The paper is theoretical and does not describe an experimental setup with hyperparameters or training configurations. |