The Two Settings of Kind and Wicked Learning Environments

April 17, 2020

There’s a paper on this topic that introduced the idea of “kind and wicked learning environments”:

…in wicked environments it is difficult to do inference based on data. One solution seems to be to break down the problem in such a way that you can observe sub-problems in a kind environment.

The Two Settings of Kind and Wicked Learning Environments

Robin M. Hogarth1, Tomás Lejarraga2, and Emre Soyer3

QT:{{” Inference involves two settings: In the first, information is acquired (learning); in the second, it is applied (predictions or choices). Kind learning environments involve close matches between the informational elements in the two settings and are a necessary condition for accurate inferences. Wicked learning environments involve mismatches. This conceptual framework facilitates identifying sources of inferential errors and can be used, among other things, to suggest how to target corrective procedures. For example, structuring learning environments to be kind improves probabilistic judgments. Potentially, it could also enable economic agents to exhibit maximizing behavior.