Kozzy Voudouris @kozzyvoudouris.bsky.social · 03/11/2025A great opportunity to work at the cutting edge of AI and cognitive science! 021
Reposted by Kozzy VoudourisFranziska Brändle @frabraendle.bsky.social · 02/10/2025What influences whether people have fun with a task? Our paper “Leveling up fun: learning progress, expectations and success influence enjoyment in video games” with @thecharleywu.bsky.social and @ericschulz.bsky.social now in Scientific Reports! rdcu.be/eI069 Paper summary below 1/4rdcu.beLeveling up fun: learning progress, expectations, and success influence enjoyment in video gamesScientific Reports - Leveling up fun: learning progress, expectations, and success influence enjoyment in video games 15917
Reposted by Kozzy VoudourisMilena Rmus @milenamr7.bsky.social · 22/09/2025Happy to announce our paper got accepted to #NeurIPS! @akjagadish.bsky.social @marvinmathony.bsky.social @ericschulz.bsky.social & Tobi Ludwig arxiv.org/abs/2502.00879arxiv.orgGenerating Computational Cognitive Models using Large Language ModelsComputational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data.... 1235
Reposted by Kozzy VoudourisMatishalin @matishalin.bsky.social · 18/09/2025Excited for this paper to be out, literal years of hard work by Kozzy. Excitingly, my first last author paper! This work came from joining the Kinds of Intelligence group at Cambridge and being given time by @martahalina.bsky.social to explore and cross disciplines. Hard work but very fun! 🧪 🤖🧠 063
Kozzy Voudouris @kozzyvoudouris.bsky.social · 18/09/2025A prominent idea in biology tells us that evolution is not always incremental, but often involves a few important structural changes that open up phylogenetic possibility. Think: single cells ➡️ multicellular life. Solitary individuals ➡️ eusocial colonies. 131
Kozzy Voudouris @kozzyvoudouris.bsky.social · 02/09/2025Doing cognitive science on non-human systems like animals or artificial intelligence, brings inherent challenges. One of them is generating plausible alternative explanations for behaviour that can be tested empirically. 2153
Reposted by Kozzy Voudourislucaschubu.bsky.social @lucaschubu.bsky.social · 02/06/2025Excited to say our paper got accepted to ICML! We added new findings including this: models fine-tuned on a visual counterfactual reasoning task do not generalize to the underlying factual physical reasoning task, even with test images matched to the fine-tuning data set. 161
Kozzy Voudouris @kozzyvoudouris.bsky.social · 23/05/2025I am very pleased to announce that my paper "Morgan's Canon and the Associative-Cognitive Distinction Today: A Survey of Practitioners" was published this week in the Journal of Comparative Psychology. 131
Reposted by Kozzy VoudourisNature Reviews Psychology @natrevpsychol.nature.com · 13/05/2025Bringing comparative cognition approaches to AI systems Comment by Konstantinos Voudouris (@kozzyvoudouris.bsky.social), Lucy Cheke (@lucycheke.bsky.social) & Eric Schulz (@ericschulz.bsky.social) go.nature.com/43djJlv 0103
Reposted by Kozzy VoudourisOlivia Guest · Ολίβια Γκεστ @olivia.science · 01/03/2025Tired but happy to say this is out w @andreaeyleen.bsky.social: Are Neurocognitive Representations 'Small Cakes'? philsci-archive.pitt.edu/24834/ We analyse cog neuro theories showing how vicious regress, e.g. the homunculus fallacy, is (sadly) alive and well — and importantly how to avoid it. 1/ 2526080
Kozzy Voudouris @kozzyvoudouris.bsky.social · 01/03/2025How can we rigorously investigate the common-sense capabilities of agentic AI systems? How can we build better models of non-human animal cognition? (Re-)introducing the Animal-AI Environment: A virtual laboratory for comparative cognition and artificial intelligence research! 194
Reposted by Kozzy VoudourisAndrew Lampinen @lampinen.bsky.social · 28/02/2025New preprint! In arxiv.org/abs/2502.20349 “Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior” we synthesize AI & cognitive science works to a perspective on seeking generalizable understanding of cognition. Thread:arxiv.orgNaturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behaviorArtificial Intelligence increasingly pursues large, complex models that perform many tasks within increasingly realistic domains. How, if at all, should these developments in AI influence cognitive sc... 17820
Reposted by Kozzy VoudourisMirko Thalmann @mirkothm.bsky.social · 28/02/2025Every experience is unique 🌟 light shifts, angles change, yet we recognize objects effortlessly. How do our minds do this? And (how) do they differ from machines? In our new preprint with @ericschulz.bsky.social, we review human generalization and compare it to machine generalization: osf.io/k6ect 087
Reposted by Kozzy VoudourisMilena Rmus @milenamr7.bsky.social · 26/02/2025About a month late posting this, but here's a new project with @ericschulz.bsky.social, @akjagadish.bsky.social, @marvinmathony.bsky.social and Tobias Ludwig We are using LLMs to propose cognitive models in learning and decision making data. Presenting this work at RLDM! arxiv.org/abs/2502.00879arxiv.orgTowards Automation of Cognitive Modeling using Large Language ModelsComputational cognitive models, which formalize theories of cognition, enable researchers to quantify cognitive processes and arbitrate between competing theories by fitting models to behavioral data.... 0218
Reposted by Kozzy Voudourislucaschubu.bsky.social @lucaschubu.bsky.social · 25/02/2025In previous work we found that VLMs fall short of human visual cognition. To make them better, we fine-tuned them on visual cognition tasks. We find that while this improves performance on the fine-tuning task, it does not lead to models that generalize to other related tasks: 195
