纳什均衡是现代博弈论，特别是其中占主流地位的非合作博弈理论最核心的概念。
Nash equilibrium is the most important concept of modern game theory, especially of noncooperative game theory, the main theory of modern game theory.
通过利用非合作博弈论方法建模，本文给出了这种情况下R&D投资额的纳什均衡解。
On the basis of a non - cooperative game - theoretic model, we provide R&D investment Nash equilibrium outcome under duopolistic competition.
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).
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