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.2020/53

Markdown

[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.2020/53

BibTeX

@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/}
}