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I have just finished reading “the new behaviourism” by John Staddon. Here are a few thoughts about it. First all the book is clearly strongly opinionated. So if you are looking for a “balanced” view of behaviorism or the cognitive revolution, you should look elsewhere 1/n

Will huge sample sizes (alone) solve psychology problems (as for example it is claimed they solved behavioural genetics problems)? This classic article clearly illustrate that "not quite". It start from recognising a key difference between psychology and physics 1/n

Just finished reading this that I strongly recommend to anyone interested in history of cognitive science (and more broadly in questions related to the advancement of science) and is curious about what happened during the “cognitive revolutions” 1/n citeseerx.ist.psu.edu/viewdoc/downlo…

Just finished reading this old-ish gem by Herbert Simon (1992) that I strongly suggest reading for all interested in the epistemological foundations of behavioural sciences. Many key ideas are extremely clearly and convincingly laid down 1/n

Achieving Scale-Invariant Reinforcement Learning Performance with Reward Range Normalization osf.io/bjyr9/

In non-competitive settings, learners manifest a preference for broadcasting useful experience-based information to other learners, even when it comes at a social or economic cost. Hernan Anllo Uri Hertz Prof Nichola Raihani Stefano Palminteri (@stepalminteri.bsky.social) nature.com/articles/s4427…

A Cognitive Scientist's guide to Machine Consciousness osf.io/s7ptu/

🤖🧠🚨 New preprint on ... consciousness in an artificial system, defending the unpopular opinion that cognitive science is behaviourism: the learn more go and see in bluesky! bsky.app/profile/stepal…

happy to see the work of my friend Maëva L'Hôtellier on RL range-adaptation algorithm✨

SO love this post from Paul Bloom! Real-world effects are awesome when you can get them, but psychologists run experiments in controlled environments "for the same reason that chemists keep their test tubes clean". YES! smallpotatoes.paulbloom.net/p/its-fine-if-…

🌶️ Just published a spicy paper with Stefano Palminteri (@stepalminteri.bsky.social) examining how cognitive biases fundamentally shape the heated discourse around Large Language Models. Our research reveals how cognitive biases are fueling both extremes in the LLM discourse. Whether you're convinced we're

Stefano Palminteri (@stepalminteri.bsky.social) Link to the paper: osf.io/preprints/psya…

🔥Our paper PhyloLM got accepted at ICLR 2025 !🔥 In this work we show how easy it can be to infer relationship between LLMs by constructing trees and to predict their performances and behavior at a very low cost with Stefano Palminteri (@stepalminteri.bsky.social) and Pierre-Yves Oudeyer ! Here is a brief recap ⬇️

Nicolas Yax Stefano Palminteri (@stepalminteri.bsky.social) Congratulations Nicolas Yax for the amazing work, and Stefano Palminteri (@stepalminteri.bsky.social) ! I have to say that when Nicolas pitched us the idea of this project, I was excited about the creativity, but was not convinced it would work: I was completely wrong, it worked close to directly! Beautiful!

When we started studying LLMs psychology, we faced the problem of making sense of the results, especially concerning closed models. Nicolas Yax developed a very creative idea into a full-fledged to solve this problem. Great work and collaboration with Pierre-Yves Oudeyer @inria

We are happy to have Prof Stefano Palminteri Stefano Palminteri (@stepalminteri.bsky.social) from Institut National de la Santé et de la Recherche Médicale & École Normale Supérieure to give our next talk! For more info, check our website. All welcome. #LJDM25 #Riskpreferences