@inproceedings{0195d8949b7c4d74867bbbae0e76e430,
title = "Game-theoretic analysis on the number of participants in the software crowdsourcing contest",
abstract = "In this paper a game theoretic model of multiple players is established to relate the reward from the outsourcer and the number of participants in the software crowdsourcing contest in the winner-take-all mode via Nash equilibria of the game. We show how to construct the payoff function of each participant in this game by computing his expected probability of winning sequential pairwise challenges. Preliminary experimental results with our implementations are provided to illustrate the relationships between the reward and the number of participants for three typical participant compositions.",
keywords = "Game theory, Nash equilibrium, Payoff function, Software crowdsourcing",
author = "Pengcheng Peng and Chenqi Mou and Tsai, \{Wei Tek\}",
note = "Publisher Copyright: {\textcopyright} 2018, Springer Nature Switzerland AG.; 13th International Conference on Artificial Intelligence and Symbolic Computation, AISC 2018 ; Conference date: 16-09-2018 Through 19-09-2018",
year = "2018",
doi = "10.1007/978-3-319-99957-9\_20",
language = "英语",
isbn = "9783319999562",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "255--268",
editor = "Dongming Wang and Jacques Fleuriot and Jacques Calmet",
booktitle = "Artificial Intelligence and Symbolic Computation - 13th International Conference, AISC 2018, Proceedings",
address = "德国",
}