[教与学] 博弈论的数学基础 [推广有奖]

涉及的还是比较高深的，

比如数学建模型，

其实我也没有学好。

真心同问这个问题！真心希望前辈高手给与指点！！！

想要看的懂大多数的国际水平论文，学术文章。请问学了中级的计量经济学，经济类的微积分，线性代数，概率统计够用么？？

以上的数学基础是不是不够，需要学习理工类的高等数学，概率统计么或者高级计量经济学，运筹，模糊数学之类的么？

还有请问2楼所讲的随机算法是不是值得随即过程与随机分析呢？我听说金融方面的研究需要这门技术，请问博弈论的研究也如此需要这门课程么？？

希望版主以及各位大牛人能够提供一些相关信息，小弟感激不尽！！！

阁下说的是！我知错了

To be honest, there is no deep math in game theory. The most important thing is the idea of strategic thinking. The only thing to be learnt is about how to model certain agents with certain strategies. There is already some norms in this field, and that is the reason why we need to learn game theory, i.e. to learn the conventions and norms how to write models, or how to discuss a problem in the approach and language of game theory.

Anyway, the math needed for game theory I can think of is as following: optimization method, fundamental probability theory, fundamental calculus. That's it.

如果力所能及的话，还是得达到理工科学生的数学水平，尤其是要学好数学分析，对提高分析建模能力大有裨益