Computational Cognitive Science

@compcogsci.bsky.social

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Account of the Computational Cognitive Science Lab at Donders Institute, Radboud University

“Two figures showing a pencil drawn map with points A and B and a mountain range. On the left, the mountain range is in between points A and B. On the right, the part containing the mountain range has been cut out, showing the author’s desk through the hole cut in the map.” Figure 12 in: van de Braak, L., van Rooij, I., Dingemanse, M., Toni, I., & Blokpoel, M. (2025). Understanding misunderstanding: How quick-fix solutions undermine explanation. Zenodo. https://doi.org/10.5281/zenodo.17152893
Data centers and the intensive need for non renewable energy sources. (Marcela Suarez, Queretaro, Mexico, December 2024)
Combining Psychology with Artificial Intelligence: What could possibly go wrong? The current AI hype cycle combined with Psychology’s various crises make for a perfect storm. Psychology, on the one hand, has a history of weak theoretical foundations, a neglect for com- putational and formal skills, and a hyperempiricist privileging of experimental tasks and testing for effects. Artificial Intelligence, on the other hand, has a history of conflating artifacts for theories of cognition, or even minds themselves, and its engineering offspring likes to move fast and break things. Many of our contemporaries now want to combine the worst of these two worlds. What could possibly go wrong? Quite a lot. Does this mean that Psychology and Artificial Intelligence can best part ways? Not at all. There are very fruitful ways in which the two disciplines can interact and theoretically inform the interdisciplinary study of cognition. But to reap the fruits one needs to understand how to steer clear of potential traps. Keywords: theoretical psychology, artificial intelligence, cognitive science, computationalism, epistemology