Fans Economy and All-Pay Auctions with Proportional Allocations
Authors: Pingzhong Tang, Yulong Zeng, Song Zuo
AAAI 2017 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Furthermore, we conduct experiments to show how revenue changes with respect to different reserves. Experiments To empirically evaluate how revenue changes as a function of reserve, we simulate a setting with n = 10000 bidders and show how revenue changes as the reserve grows from 0 to a reasonably large price. In particular, we evaluate how the (best equilibrium/worst equilibrium/equilibria on average) revenue varies; how the average number of players (who meet the reserve) at pure Nash equilibria varies. |
| Researcher Affiliation | Academia | Pingzhong Tang, Yulong Zeng, Song Zuo Institute for Interdisciplinary Information Sciences Tsinghua University, Beijing, China kenshinping@gmail.com,cengyl13@mails.tsinghua.edu.cn,songzuo.z@gmail.com |
| Pseudocode | Yes | Algorithm 1: Partition Algorithm 2: Finding the locally efficient Equilibrium with the minimum number of participants. |
| Open Source Code | No | The paper does not contain any concrete access information (specific repository link, explicit code release statement, or code in supplementary materials) for the methodology described. |
| Open Datasets | No | The paper uses synthetic data generated from 'Power law distribution with α = 7 and vmin = 1, i.e., f power(v) = αv 1 α, v [1, + ).' and '[0, 1] uniform distribution.' It does not provide access information for a publicly available dataset. |
| Dataset Splits | No | The paper does not provide specific dataset split information (exact percentages, sample counts, citations to predefined splits, or detailed splitting methodology) needed to reproduce data partitioning. |
| Hardware Specification | No | The paper does not provide specific hardware details (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 | No | The paper describes simulation parameters like 'n = 10000 bidders' and properties of the value distributions (Power law with α = 7 and vmin = 1, Uniform [0,1]). However, it does not provide specific experimental setup details such as concrete hyperparameter values, training configurations, or system-level settings for a computational model. |