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...

CCN 2026 Naturalistic Problem Solving event interest form

Please fill out this form if you're interested in attending our community event at CCN 2026! No sign-up required to join, but an RSVP helps us get a headcount. Time: Wednesday, 5th August 2026, 16:0...

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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.

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...

Tomer Ullman@tomerullman.bsky.social · 3mo ago

out now in Psych Review, a project many years in the making: "Reverse Engineering the Centered Self" bit.ly/4wp9fgN

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/)

Earl K. Miller@earlkmiller.bsky.social · 2mo ago

New results! A new method that analyzes brain waves and spike timing together. This lets us pinpoint exactly which rhythms neurons are locking to. BAYESIAN STATE-SPACE MODEL FOR JOINT INFERENCE OF OSCILLATORY DYNAMICS AND POINT-PROCESS COUPLING doi.org/10.64898/202... #neuroscience

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.

Mark Ho@markkho.bsky.social · 2mo ago

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

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

Framing the Problem — Workshop Series

A workshop series on representation construction in cognitive science and AI. CogSci 2026 (Rio) and CCN 2026 (NYU).

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! 🤓

Cognition@cognitionjournal.bsky.social · 9mo ago

How early do children grasp mathematical patterns? In a new Cognition paper, Ciccione et al. show that 5–6-year-olds can intuitively extend lines, curves and oscillating patterns, revealing rich proto-mathematical intuitions before schooling.

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!

Sam Cheyette@samcheyette.bsky.social · 10mo ago

Very excited to share a new preprint that’s been brewing for a long time! This work was led by the exceptional @traceym.bsky.social, and made possible by a developmental + comparative + computational dream team. osf.io/preprints/ps...

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/...

Do Humans Use Push‐Down Stacks When Learning or Producing Center‐Embedded Sequences?

Complex sequences are ubiquitous in human mental life, structuring representations within many different cognitive domains—natural language, music, mathematics, and logic, to name a few. However, the....

onlinelibrary.wiley.com

If you’re applying to grad school this cycle, consider signing up for the MIT BCS application assistance program!

If you’ll be at #CogSci2025, consider (or at least consider considering) attending our @cogscisociety.bsky.social workshop on meta reasoning 🤔🤨🧐 We’ll be discussing problem selection through various lenses represented by a great lineup of speakers!

Meta-reasoning @ CogSci

Workshop Description People are general purpose problem solvers. We obtain food and shelter, manage companies, solve moral dilemmas, spend years toiling away at thorny math problems, and even adopt a...

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