New preprint! Super excited to share this work with marjorie and todd gureckis. We ask: how do people efficiently generate questions to resolve uncertainty, especially when the space of possible questions is large? Thread below, preprint here: osf.io/preprints/psya…

Excited to share our latest collaborative paper, "Using Games to Understand the Mind," now published in Nature Human Behaviour!🎉 Congratulations to Jacob Friis Sherson , Janet Rafner , and the entire team! Dive into new insights on using games to study cognition and human behavior.

New paper out now in Cognition! Cognition When rules are over-ruled: Virtual bargaining as a contractualist method of moral judgment. authors.elsevier.com/a/1jIeB2Hx2xKtx With Max Kleiman-Weiner, Nick Chater, Fiery Cushman, Josh Tenenbaum

There is a new form of academic grifting that preys on (very legitimate) anxiety about the job market. Science Magazine did an expose on a company that pressures PhD students and postdocs to pay up to $9998 for for "career advice" services. Many students allege they were pushed

New #RLC2024 paper Three Dogmas of Reinforcement Learning joint w/ Mark Ho and Anna Harutyunyan! arxiv.org/pdf/2407.10583 We reflect on where our scientific paradigm needs adjustment, and suggest three departures from previous conventions. Curious to hear what folks think! 🧵

Reinforcement learning is a powerful scientific framework for studying how people and machines make decisions 🤔🤖. I use it all the time! But what does it miss out on? In this paper with David Abel and Anna Harutyunyan, we try to identify some gaps and point to some solutions!

The call to focus on learning as adaptation is critical for computational psychiatry. Specifically trying to model windows in development where adaptation flexibility is greater and becomes less malleable later. Excited to read in full

Fun fact, the expression for the policy gradient is wrong in almost every algorithm, this isn't widely acknowledged, and the expression that we use isn't apparently the gradient of anything? arxiv.org/abs/1906.07073

🚨📢 Super excited to share our new preprint 🚨(w Luke 🐝 Hewitt Isaias Ghezae & Robb Willer) Assembling a large archive of 70 experiments (476 effects) conducted in the US, we ask if LLMs can be leveraged to predict results of social science experiments. See this 🧵for more:

So excited to be joining NYU Data Science as a Faculty Fellow at CDS! 😄 I'll be working on representational alignment, learning/teaching with small data, and designing AI thought partners that learn & think *with* people rather than *instead of* people. 🧠🤝🤖

Excited to to present Three Dogmas of RL on the last day of RL_Conference! > Talk in Room 168, 11.30am-12.30pm > Poster in Room 162, 12.30pm-2.30pm Anna Harutyunyan and I will be around, looking forward to your questions + challenges! 😄

[New preprint!] What does it take to build machines that **meet our expectations** and **compliment our limitations**? In this Perspective, we chart out a vision, which engages deeply with computational cognitive science, to design truly human-centric AI “thought partners” 1/

📣 New Preprint! 📣 In my last tweet I said I plan to work on AI thought partners that learn & think *with* people rather than *instead of* people. In this perspective piece led by Katie Collins we lay out what that means, why it matters, and how it can be done! 🧠🤝🤖

In this paper led by the amazing Katie Collins Ilia Sucholutsky Umang Bhatt Kartik Chandra (also on Mastodon and Bsky) and Lio Wong, we outline how computational cognitive science can guide the development of AI systems that learn and think *with* people

My department is hoping to make a tenure track hire in social psychology, broadly construed. Deadline mid September. Please share - and apply! academicpositions.harvard.edu/postings/13930

My latest paper is out at Psych Sci❗️ w/ Tania Lombrozo & Griffiths Computational Cognitive Science Lab We built a Bayesian model that captures people's inferences from opinions* in a game-show paradigm. *e.g., if 12 people think 'X' is True, and 2 think 'X' is False, P(X=T) = 81% journals.sagepub.com/doi/10.1177/09…

just accepted in philosophy of science, wherein I try to figure out how values are represented in thought: philpapers.org/rec/AROLVI. this came out of a workshop organized by Anna Harutyunyan , Mark Ho , and David Abel ....