Tracey Mills

We’ll be presenting this at #NeurIPS!

On the thought that the best way to demonstrate the kinds of data that childrenhelpingscience.org can produce is to build the datasets myself, I'm thinking of vibe coding an ASR benchmark task for child speech. If you'd be interested in such a dataset, what properties would you want it to have?

The framing-the-problem.github.io/cogsci2026.h... workshop at #cogsci2026 is kicking off with an intro from @hanqizhou.bsky.social Come find us in Galvea B

We're looking for volunteers for our #CCN2026 community event's live problem-solving demos! Join a 10min think-aloud session solving an everyday planning task or playing a video game, and help kick off our panel discussions. 🎬 🙌 Please sign up here if you're interested: forms.gle/D7HNwFE1pet9...

are you a puzzle-enjoyer, or would you like to become one? try out a game or two at mitpuzzles.com! we're trying to figure out the factors that separate novice from expert problem solving, and what changes with experience, using self-motivated puzzle solving

Do people solve hard problems by first building a mental model, then searching for the best solution? With @gershbrain.bsky.social, our new manuscript suggests a different route: people often start by retrieving cached solutions, and scaffold representations around them. osf.io/preprints/ps...

Check out some of the “centering” tasks used in this work here! temills.github.io/portfolio/se...

Most models of learning ask what you can represent. We think the real bottleneck is what you can afford to find, since searching for a good representation is itself expensive. New preprint w/ @davidnagy.bsky.social, Peter Dayan & @thecharleywu.bsky.social 🧵👇

Finally putting this work out as a preprint :) Thanks to Emery Brown and @earlkmiller.bsky.social for helping conceptualize this work! Code: github.com/Bowen-Zheng-... and a tutorial notebook on the key ideas: github.com/Bowen-Zheng-... A 3-min overview below: (1/)

Join us at both conferences this summer! Our #CogSci2026 workshop features a series of invited talks on problem representations and abstractions. Our #CCN2026 community event opens a broader discussion on naturalistic problem solving: frameworks, tasks, methods, and where the field should go next.

How do human minds make sense of big, messy problems? 😵‍💫🌀 How do we distill complexity into something simple enough to solve? 🤔💡 We’ll be tackling these questions (and more!) at two workshops on task representations, abstractions, and construals #CogSci2026 #CCN2026 🧵 framing-the-problem.github.io

1\ Can you make this Roman-numeral equation true by moving exactly one matchstick?

We're so excited to be attending @cogdevsoc.bsky.social in Montreal! Catch the lab in action in poster sessions, presentations, and symposiums! #cds2026

I'm excited to announce that I had my first (co-authored) book published today! "The Rational Use of Cognitive Resources" with Falk Lieder and Tom Griffiths (@cocoscilab.bsky.social ). You can read it for free! (see thread)

There’s a fantastic developmental science resource called Children Helping Science, at MIT (childrenhelpingscience.com). Researchers run child studies online, Parents sign up & participate with their kids. CHS got an offer from an anonymous donor: matching gifts up to $100K through December!

Check our new paper out! 🤓

I'm recruiting a grad student! My lab at NYU (psych dept) studies the computational basis of moral cognition and aims to build AI systems that are aligned with human values. Now admitting a PhD student for Fall 2026. Apps due 12/1. sites.google.com/corp/site/sy...

Our next paper on comparing dynamical systems (with special interest to artificial and biological neural networks) is out!! Joint work with @annhuang42.bsky.social , as well as @satpreetsingh.bsky.social , @leokoz8.bsky.social , Ila Fiete, and @kanakarajanphd.bsky.social : arxiv.org/pdf/2510.25943

Do AI agents ask good questions? We built “Collaborative Battleship” to find out—and discovered that weaker LMs + Bayesian inference can beat GPT-5 at 1% of the cost. Paper, code & demos: gabegrand.github.io/battleship Here's what we learned about building rational information-seeking agents... 🧵🔽

We're excited to announce that Cognitive Science at Dartmouth is recruiting PhD students to work collaboratively with me, Steven Frankland, and Fred Callaway. Come study the principles and mechanisms that enable us to understand, plan, and act in the world! Info: sites.dartmouth.edu/cogscigrad/

Excited to share this work on ✨program learning✨ and grateful to have worked on this with @samcheyette.bsky.social, an incredible mentor and scientist!

Now up at #COSMOS2025: @kartikchandra.bsky.social & Lio Wong giving a tutorial on recursive social reasoning using MEMO github.com/kach/memo Fun fact: those flowers between them and 🗻 are called "cosmos". Collab notebook here to follow along 👉 cosmossummerschool.github.io/materials/#g...

New work with @samcheyette.bsky.social & Susan Carey testing the memory architecture used when learning/producing center-embedded sequences. Adults don't use Push-Down Stacks as is often assumed, instead they rely on a Queue-like memory architecture onlinelibrary.wiley.com/doi/10.1111/...