A computational framework for understanding the roles of simplicity and rational support in people's behavior explanations

When explaining other people's behavior, people generally find some explanations more satisfying than others. We propose that people judge behavior explanations based on two computational principles: simplicity and rational support—the extent to which an explanation makes the behavior “make sense” under the assumption that the person is a rational agent. Furthermore, we present a computational framework based on decision networks that can...