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..
Digital Good Exchange
Authors: Wenyi Fang, Pingzhong Tang, Song Zuo
IJCAI 2016 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Theoretical | We put forward game theoretical models tailored for digital good exchange. In the ๏ฌrst part of the paper, we ๏ฌrst consider a natural class of games where agents can choose either a subset of other participants items or no participation at all. It turns out that this class of games can be modeled as a variant of congestion games. We prove that it is in general NP-complete to determine whether there exists a non-trivial pure Nash equilibrium... In the second part of the paper, we investigate digital good exchange from a mechanism design perspective. |
| Researcher Affiliation | Academia | Wenyi Fang and Pingzhong Tang and Song Zuo Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China |
| Pseudocode | Yes | Algorithm 1: Calculate Ki satisfying (2). input : Ki, ki0 for all i0 2 Ki output: Ki ;; sort i0 2 Ki in descending order of ki0; for sorted i0 2 Ki do if ki0 > |Ki |; else |
| Open Source Code | No | The information is insufficient. The paper does not provide any statement or link indicating that the source code for the methodology is openly available. |
| Open Datasets | No | The information is insufficient. The paper is theoretical and does not describe experiments involving dataset training. |
| Dataset Splits | No | The information is insufficient. The paper is theoretical and does not describe experiments involving validation sets. |
| Hardware Specification | No | The information is insufficient. The paper is theoretical and does not describe any specific hardware used for experiments. |
| Software Dependencies | No | The information is insufficient. The paper is theoretical and does not list specific software dependencies with version numbers. |
| Experiment Setup | No | The information is insufficient. The paper is theoretical and does not describe an experimental setup, hyperparameters, or system-level training settings. |