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A Sensitivity Based Approach to Determining Non-Cooperative Solutions in Nash and Stackelberg Games

机译:基于灵敏度的Nash和Stackelberg游戏中非合作解决方案的确定方法

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A sensitivity based approach is presented to determine Nash solution(s) in multiobjective problems modeled as a non-cooperative game. The proposed approach provides an approximation to the rational reaction set (RRS) for each player. An intersection of these sets yields the Nash solution for the game. An alternate approach for generating the RRS based on design of experiments (DOE) combined with response surface methodology (RSM) is also explored. The two approaches for generating RRS are compared on three example problems to find Nash and Stackelberg solutions. It is seen that the proposed sensitivity based approach (ⅰ) requires less computational effort than a RSM-DOE approach, (ⅱ) is less prone to numerical errors than the RSM-DOE approach, (ⅲ) is able to find all Nash solutions when the Nash solution is not a singleton, (ⅳ) is able to approximate non linear RRS, and (ⅴ) is able to find better a Nash solution on an example problem than the one reported in the literature.
机译:提出了一种基于灵敏度的方法来确定建模为非合作博弈的多目标问题中的纳什解决方案。所提出的方法为每个玩家提供了一个合理的反应集(RRS)的近似值。这些集合的交集产生了游戏的Nash解决方案。还探索了一种基于实验设计(DOE)结合响应面方法(RSM)生成RRS的替代方法。在三个示例问题上比较了两种生成RRS的方法,以找到Nash和Stackelberg解决方案。可以看出,所提出的基于灵敏度的方法(ⅰ)比RSM-DOE方法需要更少的计算工作,(ⅱ)比RSM-DOE方法更不容易出现数值错误,(ⅲ)能够在以下情况下找到所有Nash解Nash解决方案不是单例的,(ⅳ)能够近似非线性RRS,并且(able)能够在示例问题上找到比文献报道更好的Nash解。

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