中文摘要：

针对经济网格中，由于网格系统的复杂性和用户的私利性，使得网格用户在资源竞价过程中往往因相关信息的匮乏而导致资源竞价的盲目性问题，根据重复博弈分阶段执行的特点，将网格用户间对网格资源的竞争看作多阶段的重复博弈过程。用户依据前一阶段博弈的竞价值及竞价结果对当前阶段的竟价策略进行调整，通过有限次的阶段博弈达到均衡出价策略组合，实现用户最大效用下的资源分配。仿真表明，在不完全信息的网格环境中，该竞价模型可逐步改善网格用户的资源竞价策略，实现优化目标最大化下的网格资源分配。

英文摘要：

In order to avoid the blindness and casualness in bidding grid resource because of system complexity and selfish behaviors of in- dividual in economic grid environment,a bidding algorithm based on repeated game which consists in some number of repetitions of some base game is presented. The grid users adjust bidding strategy for gird resources according to the payoff of previous bidding stage with in- complete information, the approximate equilibrium bidding strategies can be achieved in finitely repeated game. The simulation result shows that the algorithm improves the user＇s bidding strategy in economic grid, and the maximum efficient equilibrium payoff can be reached.