The Evolution of the Adaptive Toolbox

There are all a number of principles that have to do with ecological rationality, like the key insight that under uncertainty, you need to avoid to overfit. And that's why stopping rules become very important. There are mathematical principles like the bias variance decomposition from machine learning. So in simple worlds, a tradeoff between thinking in a way or having a model not too far off the truth.