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Dynamic incentive design in multi-stage linear-Gaussian games with asymmetric information: A common information based approach

机译:具有不对称信息的多阶段线性高斯博弈中的动态激励设计:一种基于通用信息的方法

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We study a finite-horizon multi-stage N + 1-player incentive design problem with a hierarchical information structure at each stage. Each controller (or player) is assumed to have a stagewise additive cost function, in which the cost to a controller at any stage depends on the state of the system at that stage and the actions taken by all the controllers at that stage. We also assume that the controllers do not necessarily acquire the same information at the beginning of each stage. This leads to a multi-stage incentive design problem with dynamic asymmetric information. During each stage, Controller 0 is assumed to have access to private information and actions of all controllers, and announces its control law so that it is in the best interest of other controllers to act in a specific manner. We introduce a new notion of dynamic incentive strategies, called common information based subgame-perfect incentive scheme (CISPIS), along the lines of subgame-perfect Nash equilibrium concept for perfect information games. We show that under certain sufficient conditions, the multi-stage incentive design problem admits a CISPIS. The control law of Controller 0 at every stage is affine in the actions of other controllers under this scheme.
机译:我们研究了在每个阶段具有分层信息结构的有限水平多阶段N + 1人激励设计问题。假定每个控制器(或参与者)都具有阶段性附加成本函数,其中任一阶段控制器的成本取决于该阶段系统的状态以及该阶段所有控制器所采取的措施。我们还假设控制器不一定在每个阶段的开始都获取相同的信息。这导致了带有动态不对称信息的多阶段激励设计问题。在每个阶段,假定控制器0可以访问所有控制器的私人信息和操作,并宣布其控制法则,以便以其他方式采取特定行动符合其他控制器的最大利益。我们引入了动态激励策略的新概念,即基于公共信息的亚博弈完美激励计划(CISPIS),以完美信息博弈的亚博弈完美Nash均衡概念为基础。我们表明,在一定的充分条件下,多阶段激励设计问题可以接受CISPIS。在此方案下,控制器0的每个阶段的控制规律都与其他控制器的动作密切相关。

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