Competition Among Contests: A Safety Level Analysis
Abstract
We study a competition among two contests, where each contest designer aims to attract as much effort as possible. Such a competition exists in reality, e.g., in crowd-sourcing websites. Our results are phrased in terms of the “relative prize power” of a contest, which is the ratio of the total prize offered by this contest designer relative to the sum of total prizes of the two contests. When contestants have a quasi-linear utility function that captures both a risk-aversion effect and a cost of effort, we show that a simple contest attracts a total effort which approaches the relative prize power of the contest designer assuming a large number of contestants. This holds regardless of the contest policy of the opponent, hence providing a “safety level” which is a robust notion similar in spirit to the max-min solution concept.
Cite
Text
Lavi and Shiran-Shvarzbard. "Competition Among Contests: A Safety Level Analysis." International Joint Conference on Artificial Intelligence, 2020. doi:10.24963/IJCAI.2020/53Markdown
[Lavi and Shiran-Shvarzbard. "Competition Among Contests: A Safety Level Analysis." International Joint Conference on Artificial Intelligence, 2020.](https://mlanthology.org/ijcai/2020/lavi2020ijcai-competition/) doi:10.24963/IJCAI.2020/53BibTeX
@inproceedings{lavi2020ijcai-competition,
title = {{Competition Among Contests: A Safety Level Analysis}},
author = {Lavi, Ron and Shiran-Shvarzbard, Omer},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2020},
pages = {378-385},
doi = {10.24963/IJCAI.2020/53},
url = {https://mlanthology.org/ijcai/2020/lavi2020ijcai-competition/}
}