How can the tragedy of the commons be prevented?: Introducing Linear Quadratic Mixed Mean Field Games

Gokce Dayanikli, Mathieu Lauriere
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Abstract

In a regular mean field game (MFG), the agents are assumed to be insignificant, they do not realize their effect on the population level and this may result in a phenomenon coined as the Tragedy of the Commons by the economists. However, in real life this phenomenon is often avoided thanks to the underlying altruistic behavior of (all or some of the) agents. Motivated by this observation, we introduce and analyze two different mean field models to include altruism in the decision making of agents. In the first model, mixed individual MFGs, there are infinitely many agents who are partially altruistic (i.e., they behave partially cooperatively) and partially non-cooperative. In the second model, mixed population MFGs, one part of the population behaves cooperatively and the remaining agents behave non-cooperatively. Both models are introduced in a general linear quadratic framework for which we characterize the equilibrium via forward backward stochastic differential equations. Furthermore, we give explicit solutions in terms of ordinary differential equations, and prove the existence and uniqueness results.
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如何防止公地悲剧?线性二次混合均值场博弈介绍
在常规均值场博弈(MFG)中,代理人被假定为微不足道,他们不会意识到自己对群体水平的影响,这可能会导致被经济学家称为 "公地悲剧 "的现象。然而,在现实生活中,由于(所有或部分)代理人的潜在利他主义行为,这种现象往往可以避免。受此启发,我们引入并分析了两种不同的均值场模型,以将利他主义纳入代理人的决策过程。在第一个模型,即混合个体均值场模型中,有无限多的代理人部分具有利他主义(即他们的行为部分具有合作性),部分不具有合作性。在第二种模型,即混合种群多角色政府模型中,一部分种群采取合作行为,其余代理人采取非合作行为。这两个模型都是在一般线性二次方程框架下引入的,我们通过前向后向随机微分方程来描述其均衡。此外,我们还给出了常微分方程的明确解,并证明了存在性和唯一性结果。
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