Mark Ho

computational cog sci • problem solving and social cognition • asst prof @NYUPsych •

[Mark Ho @mark_ho_]

1/ I'm excited to share our new paper, now in @Nature!

Paper: https://t.co/y2KA9wFnoF
PDF: https://t.co/hRGO8s7oo3
Summary 🧵:

We present a new theory of problem simplification to answer an old question in cognitive science and AI:

How do we represent problems when planning?

[Mathieu @miniapeur]

PhD students after their paper, having been rejected three times, finally gets accepted.

[Mark Ho @mark_ho_]

just got my copy!

[Griffiths Computational Cognitive Science Lab @cocosci_lab]

New book The Laws of Thought is out tomorrow! Just as Algorithms to Live By introduced ideas from computer science through their applications in everyday life, the Laws of Thought introduces ideas from cognitive science and AI through the stories of the people who created them.

[Griffiths Computational Cognitive Science Lab @cocosci_lab]

New book The Laws of Thought is out tomorrow! Just as Algorithms to Live By introduced ideas from computer science through their applications in everyday life, the Laws of Thought introduces ideas from cognitive science and AI through the stories of the people who created them.

[Griffiths Computational Cognitive Science Lab @cocosci_lab]

Excited to announce a new book telling the story of mathematical approaches to studying the mind, from the origins of cognitive science to modern AI! The Laws of Thought will be published in February, and is available for pre-order now.

[Tal Linzen @tallinzen]

Very excited about this preprint! We used LLMs and a large-scale eye-tracking study to (I think) really nail some questions that psycholinguists have been debating for decades:

Why are some syntactic structures harder to read than others? How much of this difficulty can be explained by predictability? When we go back and reread earlier words in the sentence, how do we choose which words to read?

It was great to work on this project with @wtimkey8 and @byungdoh, Kuan-Jung Huang, @sArehalli, @grushaprasad and Brian Dillon!

[Lucy Lai, PhD @drlucylai]

got two new #bayesian books in the ✉️ today 👀 can’t wait to design a new course based on them @cocosci_lab @weijima01 @KordingLab @dangoldreich

[Mark Ho @mark_ho_]

@drlucylai Thanks Lucy! Hope you're doing well!

[Mark Ho @mark_ho_]

🚀 Excited to share a new preprint, accepted as a spotlight at #NeurIPS2025!

Humans are imperfect decision-makers, and autonomous systems should understand how we deviate from idealized rationality

Our paper aims to address this! 👀🧠✨
https://t.co/jOLXBdELTt

a 🧵⤵️

[Guy Rosman @Guy_Rosman7]

happy to be a part of this work, on how to use IRL to infer and work with more general cognitive priors, nice paper bridging these domains by @mark_ho_, @EugeneVinitsky, and team (thanks @SounakBanerjee, all!), spotlighted in #neurips2025!

[Deepak Gopinath @gopinath_deepak]

I have been a fan of Mark's work for a decade and in this work I finally had an opportunity to collaborate with him and his postdoc @SounakB02298201! In this work I believe we are taking important steps towards bringing computational cognitive science to real-world naturalistic

[Eugene Vinitsky 🦋 @EugeneVinitsky]

How do we estimate cognitive biases from human data using IRL? We bring some scalable answers in this collaboration!

[xuan (ɕɥɛn / sh-yen) @xuanalogue]

Finished teaching my first seminar course today! Had tons of fun introducing my students to the rational foundations of human-like cooperation. Now that the course is over, I'm sharing the syllabus more widely!

[Aashish Reddy @_AashishReddy]

Fixed it

[Mark Ho @mark_ho_]

This was a team effort!!

Massive credit to Sounak Banerjee (@SounakB02298201) for leading this project and a big thanks to @EugeneVinitsky, @daphne_cor, and our partners at @ToyotaResearch, @gopinath_deepak and @Guy_Rosman7 for the fantastic collaboration 🙌🎉

[Mark Ho @mark_ho_]

One reason I’m excited about this work is that it is step towards scaling cognitive models to naturalistic domains, like driving 🚗

This pushes cognitive modeling approaches forward while helping bridge the gap between cognitive science theory and real-world autonomous systems!

[Shawn Rhoads @shawnrhoadsphd]

Excited to see our NMH paper featured here for #WorldMentalHealthDay! https://t.co/ij54cQIDHK

Many psychiatric symptoms are inherently social. @XiaosiGu, @JoeBarnby, & I call for models that reflect processes most relevant to our questions, esp. for those about social symptoms