Adaptive Heuristics
展示了一类基于自然遗憾度量的简单行为规则（自适应启发式），证明其长期能产生理性行为，并建立了自适应启发式动态方法与相关均衡静态方法之间的坚实联系。
We exhibit a large class of simple rules of behavior, which we call adaptive heuristics, and show that they generate rational behavior in the long run. These adaptive heuristics are based on natural regret measures, and may be viewed as a bridge between rational and behavioral viewpoints. Taken together, the results presented here establish a solid connection between the dynamic approach of adaptive heuristics and the static approach of correlated equilibria. Copyright The Econometric Society 2005.