Prof. Dr. Stephan Hartmann

Primary research focus: Neurophilosophy

Keywords: Bayesian cognitive science, reasoning and argumentation, individual and collective decision making

Brief research description: My GSN-related work is mainly in the area of Bayesian cognitive science. Thereby, I am mainly interested in questions from the area of reasoning and argumentation. Moreover, I am interested in methodological problems raised by Bayesian cognitive science, such as the question whether theories like predicting processing theory should be interpreted realistically. I also study individual and collective decision making and construct agent-based models to investigate these issues.

Current or graduated GSN students: Harry Waterstone, Cameron Beebe, Timo Freiesleben, Johannes Kleiner, Rafael Fuchs, Dr. Gasper Stukelj

Selected publications:

Being Realist about Bayes, and the Predictive Processing Theory of Mind (with Matteo Colombo and Lee Elkin). The British Journal for the Philosophy of Science 72(1): 185–220 (2021).

Bayesian Philosophy of Science (with Jan Sprenger). Oxford: Oxford University Press 2019.

A New Probabilistic Explanation of the Modus Ponens–Modus Tollens Asymmetry (with Benjamin Eva and Henrik Singmann), in: CogSci 2019 Proceedings, Montreal, 289–294 (2019).

Bayesian Argumentation and the Value of Logical Validity (with Benjamin Eva). Psychological Review 125(5): 806–821 (2018). DOI: 10.1037/rev0000114

Two Sides of Modus Ponens (with Reuben Stern). The Journal of Philosophy 115 (11): 605–621 (2018). DOI: 10.5840/jphil20181151135

Bayesian Cognitive Science, Unification and Explanation (with Matteo Colombo). The British Journal for the Philosophy of Science 68(2): 451–484 (2017). DOI: 10.1093/bjps/axv036

Models, Mechanisms and Coherence (with Matteo Colombo and Robert van Iersel). The British Journal for the Philosophy of Science. 66(1): 181-212 (2015). DOI: 10.1093/bjps/axt043