IJCAI 2020poster0 citations

Competition Among Contests: a Safety Level Analysis

Ron Lavi, Omer Shiran-Shvarzbard

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.

Agent-based and Multi-agent Systems: Agent Theories and ModelsAgent-based and Multi-agent Systems: Agent-Based Simulation and EmergenceAgent-based and Multi-agent Systems: Multi-agent Planning
BibTeX
@inproceedings{ijcai2020p53,
  title     = {Competition Among Contests: a Safety Level Analysis},
  author    = {Lavi, Ron and Shiran-Shvarzbard, Omer},
  booktitle = {Proceedings of the Twenty-Ninth International Joint Conference on
               Artificial Intelligence, {IJCAI-20}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {Christian Bessiere},
  pages     = {378--385},
  year      = {2020},
  month     = {7},
  note      = {Main track},
  doi       = {10.24963/ijcai.2020/53},
  url       = {https://doi.org/10.24963/ijcai.2020/53},
}