My research career started in the Centre for Adaptive Behavior and Cognition at the Max Planck Institute for Human Development in Berlin. This research line, in which I am currently not active, used experiments and mathematical modeling to understand decision making in a social context. In one paper we investigated, using mathematical modeling of choices in public goods games, if cooperation in groups is better explained by simple reinforcement learning, or by reciprocity. In hindsight it is not surprising that reciprocity explained behavior better. At the time a number of researchers proposed reinforcement learning as models of cooperation, because they naturally explain how cooperation unravels in social dilemmas like the public goods game or the prisoners dilemma.
In this area fall also some papers that have mostly an interest in decision making in common, such as the one where we learned that economists did not use much rational analysis when deciding about taking a PSA test and that some ignorance can be better than imperfect knowledge when predicting outcomes of sports matches.
- Decision neuroscience
- Opioid Modulation of Value-Based Decision-Making in Healthy Humans
- The drift diffusion model as the choice rule in reinforcement learning
- Modelling ADHD. a review of ADHD theories through their predictions for computational models of decision-making and reinforcement learning
- Evidence Accumulation and Choice Maintenance Are Dissociated in Human Perceptual Decision Making