Optimal Strategy Estimation of Random Evolutionary Boolean Games
研究了随机演化布尔博弈的最优策略估计问题，基于最小均方误差准则提出估计器，并利用矩阵半张量积给出计算方法，附实例验证。
The optimal strategy estimation of random evolutionary Boolean games (REBGs) is discussed in this article. First, using the minimum mean square error criterion, the optimal strategy estimator is proposed for REBGs. Then, a matrix approach is developed to calculate the optimal strategy estimator by the aid of a semitensor product of matrices, which includes the prediction matrix, updating distribution, and strategy iterative formula. Finally, an elucidative example is included to show the obtained results are valid.