不确定性下围绕开源平台协同提供数据服务的建模:基于随机提供博弈

Modeling collaborative data service provision around an open source platform under uncertainty with stochastic provision games

Omega · 2024
被引 1
ABS 3

中文导读

利用合作博弈论概念,研究一组代理在不确定性下围绕开源平台协同提供移动应用时的激励问题,提出随机提供博弈模型,通过收益共享方案实现协调,提升应用质量和盈利能力。

Abstract

This paper uses concepts taken from Cooperative Game Theory to model the incentives to join forces among a group of agents involved in collaborative provision of a mobile app under uncertainty around an open source platform. Demand uncertainty leads the agents to reach a noncooperative equilibrium by offering low quality apps. This can be avoided by introducing a coordination scheme through a common platform that eliminates the effects of lack of information. Coordination is achieved by providing a revenue sharing scheme enforcing the stability of the collaboration but also defined in a “fair” way, depending on the importance of the resources that each provider supplies to the app. To this aim, we introduce the concept of Stochastic Provision Games. This coordination leads both to higher app quality and improved profitability for the participants.

合作博弈论开源平台移动应用不确定性收益共享