Decision making can be a complex process requiring the integration of several attributes of choice options. Understanding the neural processes underlying (uncertain) investment decisions is an important topic in neuroeconomics. We analyzed functional magnetic resonance imaging (fMRI) data from...

Risk attitude and perception is reflected in brain reactions during RPID experiments. Given the fMRI data, an important research question is how to detect risk related regions and to investigate the relation between risk preferences and brain activity. Conventional methods are often insensitive...

Both mathematical modelling and simulation methods in general have contributed greatly to understanding, insight and forecasting in many fields including macroeconomics. Never-theless, we must remain careful to distinguish model-land and model-land quantities from the real world. Decisions taken...

This article contains various results on a class of non-monotone law-invariant risk functionals, called the signed Choquet integrals. A functional characterization via comonotonic additivity is established, along with some theoretical properties including six equivalent conditions for a signed...

This paper studies the impact of incentives on worker self-selection in a controlled laboratory experiment. In a first step we elicit subjects' productivity levels. Subjects then face the choice between a fixed or a variable payment scheme. Depending on the treatment, the variable payment is...

Stochastic independence has a complex status in probability theory. It is not part of the definition of a probability measure, but it is nonetheless an essential property for the mathematical development of this theory. Bayesian decision theorists such as Savage can be criticized for being...

We experimentally investigate the disposition of decision makers to use case-based reasoning as suggested by Case-Based Decision Theory (Gilboa and Schmeidler, 1995). Our subjects face a monopoly decision problem about which they have very limited information. Information is presented in a...

When making a decision under uncertainty, individuals aim to achieve optimality. In general, an accurate decision is optimal. However, in real life situations asymmetric stakes induce an unusual divergence between optimality and accuracy. We highlight this optimality-accuracy trade-off and study...

This paper highlights some theoretical and epistemological reflections about the relevance of action for managerial studies. These reflections show how the cybernetic paradigm of complexity management can be used for better decision making that unites knowledge and action in a comprising,...