
Prof.
Constantin A. Rothkopf, PhD
Speaker for Darmstadt
Technische Universität Darmstadt
Psychology of Information Processing
Alexanderstraße 10
64283 Darmstadt
Short info
Our research focuses on explaining human sequential visuomotor decisions and behavior under the influence of the world's uncertainties and ambiguities through computational modeling. Using the reverse-engineering approach, we devise algorithms for inferring individuals' internal models about the world, tracking their subjective beliefs over time during behavior and learning, and their internal subjective cost and benefits including effort. This naturally touches several areas including perception and action, active inference and active vision, sequential decision making under uncertainty, intuitive physics.
Open Science
Sometimes I feel the fear of uncertainty stinging clear: How Intolerance of Uncertainty and Trait Anxiety impact fear acquisition, extinction and the return of fear.
PsyArXiv Preprints
Structural Causal Interpretation Theorem.
arXiv preprint
Articles
Large pre-trained language models contain human-like biases of what is right and wrong to do.
Nature Machine Intelligence, 4(3), 258-268.
Inverse optimal control adapted to the noise characteristics of the human sensorimotor system.
Advances in Neural Information Processing Systems, 34, 9429-9442.
Bayesian Classifier Fusion with an Explicit Model of Correlation.
In International Conference on Artificial Intelligence and Statistics (pp. 2282-2310). PMLR.