The notion of "bounded rationality" was introduced by Simon as an appropriate framework for explaining how agents reason and make decisions in accordance with their computational limitations and the characteristics of the environments in which they exist (seen metaphorically as two complementary...

Preparing people for dealing with hazards, diseases and disasters requires teaching them statistics, and ideally doing so by means of good representation formats in a dynamic fashion. Translating these dynamics to simple communication is what governments need from scientists.

The Monty Hall game is one of the most discussed decision problems, but where a convincing behavioral explanation of the systematic deviations from probability theory is still lacking. Most people not changing their initial choice, when this is beneficial under information updating, demands...

This paper sketches a new version of the multiverse interpretation of quantum mechanics, the clustered-minds multiverse, that has been presented in detail elsewhere (Schade 2018, Springer, New York). It briefly shows why it grants us with free will and reflects upon the (im-)possibilty of...

Based on an ad hoc online survey about risk perception and preventive behaviours, we describe three chronological phases related to how people in Germany perceived the Corona pandemic between March 22 and May 10, 2020. In general, participants reported to be less concerned about their own risk...

Rational outcomes of a social system do not necessarily require its individual par-ticipants to be rational. In macro systems, aggregate properties distinct from the behavior of their micro level components can emerge through complex interactions. Caution in building social sciences on...

The development of new theory is often spurred by novel techniques that provide better answers to existing questions, or that allow asking new ones. In the field of strategy and organization science, models of complex adaptive systems have renewed theoretical work on a fundamental question: how...