I'm looking for a postdoc interested in computational cognitive modeling and deep reinforcement learning! Submit a CV and references here: apply.interfolio.com/150309 Please share with anyone who might be interested!

I recently found a much better version of when2meet. It's called schej! Some of the features I love: 1) gcal integration (pre-fill availability), 2) optional email when someone fills it in, 3) poll for dates only, 4) schedule far into the future. It's free + open source! 💚

I was fortunate that Stratis Tsirtsis visited our lab for a summer. He is amazing!!

Are you thinking of applying to PhD programs in psychology but unsure about how to start or whether it's a good fit? Apply by Sep 29th to Stanford Psychology's 8th annual Paths to PhD info-session/workshop to have all of your questions answered! docs.google.com/forms/d/e/1FAI…

Accounts of learning typically focus on learning from external observations. But sometimes we learn without external input - we "learn by thinking". In this review, out today in TiCS, I consider learning by thinking across natural and artificial minds...

You give your partner flowers. They become angry. Why? It turns out language models are good at this — superhuman affective cognition: arxiv.org/abs/2409.11733

(1/7) How well do foundation models make affective inferences? Do they understand emotions like humans? We tested 3 foundation models & 567 human participants. Models perform impressively, sometimes aligning with the modal human response better than the participants themselves!

Thanks The Dissenter for having me 🙏

I had a great time at the IPAM workshop on "Analyzing high-dimensional traces of intelligent behavior" last week. Thanks a lot to the organizers for making it happen 🙏 You can see a recording of my talk here: youtube.com/watch?v=DiewGd…

Excited to introduce the 🕵️‍♀️ MARPLE benchmark for studying long horizon inferences in whodunit scenarios based on multi-modal data (vision 👀, sound 👂, and text 🗨️).

Presenting this tomorrow at Conference on Language Modeling! Poster 36 (11:00 AM-1:00 PM). We’ll have a demo—come along if you want to try our models and talk about multi-turn dialogue!

Thanks xuan (ɕɥɛn / sh-yen) for visiting us this week and presenting your work on "Scaling Cooperative Intelligence via Bayesian Inverse Planning". Xuan develops sophisticated planning methods to build theories of how resource-rational agents infer mental states from others' actions.

Thank you Marlene Berke for presenting your work today on bridging the gap between mental representations and the real world 🧠__ 🗑️__🌏. Marlene shows how building meta-cognitive capacities into artificial systems can result in better models of perception and social inference.

Is the purpose of a life at all related to the purpose of a knife? They seem totally different. Yet, 3 large experiments (total N = 13,720) revealed a striking degree of similarity in purpose judgments across domains osf.io/preprints/osf/…

Thank you Seda Akbiyik for sharing your work with us on "Agents, Objects, and Actions" 🕵️⚽️👏 Seda explores the neural representation of dynamic information. She finds remarkable similarities in how the brain processes physical and social interactions.

Thanks Dhara Yu for sharing your fascinating work with us on "Interactive discovery of program-like social norms". Dhara builds and tests computational models of how people generate structured joint action plans that balance reward, fairness, and implementation complexity.

I’m recruiting PhD students to join the Computational Minds and Machines Lab at the University of Washington in Seattle! Join us to work at the intersection of computational cognitive science and AI with a broad focus on social intelligence. (Please reshare!)