We present a functional framework for automated mechanism design based on a
two-stage game model of strategic interaction between the designer and the
mechanism participants, and apply it to several classes of two-player infinite
games of incomplete information. At the core of our framework is a black-box
optimization algorithm which guides the selection process of candidate
mechanisms. Our approach yields optimal or nearly optimal mechanisms in several
application domains using various objective functions. By comparing our results
with known optimal mechanisms, and in some cases improving on the best known
mechanisms, we provide evidence that ours is a promising approach to parametric
design of indirect mechanisms.

提出了一个基于两阶段博弈模型的自动化机制设计功能框架，并将其应用于几类不完全信息的两人无穷博弈中。我们的方法使用黑盒优化算法，可以实现优化或接近最优化的机制设计，并在多种应用领域得到了验证。通过与已知的最优机制进行比较，我们证明了该方法是参数化设计间接机制的一个有前途的方法。