针对如何解算n人非合作的动态博弈对策中的纳什均衡解问题，提出一种利用退火回归神经网络极值搜索算法解算纳什均衡解的方法。
An algorithm is proposed to solve the Nash equilibrium solution for ann-person noncooperative dynamic game by an annealing recurrent neural network for extremum seeking algorithm (ESA).
而博弈论的无名氏定理认为经济人的无限次重复博弈总能导致合作。
An anonymous person theorem of game theory holds that economic man's unlimited repetition game will result in cooperation.
应用推荐