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Mark Ho
@mark_ho_
computational cog sci • problem solving and social cognition • asst prof @NYUPsych • markkho.bsky.social
New York City, New York
codec-lab.github.io
Joined July 2018
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    Mark Ho
    @mark_ho_
    May 20, 2022
    1/ I'm excited to share our new paper, now in @Nature! Paper: nature.com/articles/s4158… PDF: rdcu.be/cNVkp 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?
    Content cover image
    People construct simplified mental representations to plan
    From nature.com
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    Mark Ho
    @mark_ho_
    May 21, 2024
    I’m excited to share some news: My group and I are moving to @NYUPsych! I’ll be affiliated with both cognition/perception and social psych, and I am SO thrilled about this unique opportunity to help bridge the two programs 🤗
    27K
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    Mark Ho
    @mark_ho_
    Sep 8, 2022
    Excited to share a new review paper on *Planning with Theory of Mind* by @rebecca_saxe, @fierycushman and myself, now out in @TrendsCognSci! authors.elsevier.com/a/1fjBQ4sIRvLY… A very brief 🧵:
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    Mark Ho
    @mark_ho_
    Jan 11, 2023
    Excited to share that Fall 2023, I'm starting a lab in the CS department @FollowStevens! Even MORE excited to share that I'm recruiting Ph.D. students interested in computational Cog Sci, RL, and/or HCI 🧠💭🤖! The official deadline is *Feb 1st*...
    48K
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    Mark Ho
    @mark_ho_
    Jul 29, 2024
    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!
    40K
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    Mark Ho
    @mark_ho_
    Jul 11, 2023
    Excited to share a new paper just accepted at Psych Science 🎉 Preprint: psyarxiv.com/aqxws We look at one of my all time favorite cognitive biases: ✨💭 Functional Fixedness 💭✨ Have you heard the idiom “To a person with a hammer, everything looks like a nail”? A 🧵
    GIF
    46K
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    Mark Ho
    @mark_ho_
    Aug 8, 2023
    Really beautiful paper by @fierycushman that reviews the current state of computational social psychology
    annualreviews.org
    Computational Social Psychology
    Social psychologists attempt to explain how we interact by appealing to basic principles of how we think. To make good on this ambition, they are increasingly relying on an interconnected set of...
    24K
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    Mark Ho
    @mark_ho_
    Jun 29, 2022
    Looking forward to joining @NYUDataScience as a Faculty Fellow in September!
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    NYU Center for Data Science
    @NYUDataScience
    Jun 29, 2022
    Incoming Faculty Fellow Mark Ho (@Mark_Ho_) currently works as a post-doc in the Computer Science and Psychology departments at Princeton University and will be joining CDS this fall. Read more about Mark on our blog! #datascience nyudatascience.medium.com/meet-the-fello…
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    Mark Ho
    @mark_ho_
    Sep 6, 2021
    Now in press at Annual Review of Control, Robotics, and Autonomous Systems! Tom Griffiths (@cocosci_lab) and I take a whirlwind tour of research on human decision-making and theory of mind in relation to control and robotics 🤔 💭 🤖 1/5 arxiv.org/abs/2109.00127
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    Mark Ho
    @mark_ho_
    Aug 1, 2024
    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 @dabelcs and @aharutyu, we try to identify some gaps and point to some solutions!
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    David Abel
    @dabelcs
    Aug 1, 2024
    New #RLC2024 paper Three Dogmas of Reinforcement Learning joint w/ @mark_ho_ and @aharutyu! 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! 🧵
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    Mark Ho
    @mark_ho_
    May 8, 2023
    New preprint up! 📜 "Bayesian Reinforcement Learning with Limited Cognitive Load" with @Dilip_Arumugam @noahdgoodman and Ben Van Roy This was such a fun and stimulating paper to work on 🤓 A few additional points to complement Dilip's excellent summary: arxiv.org/abs/2305.03263
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    Dilip Arumugam
    @Dilip_Arumugam
    May 8, 2023
    Q: What happens when you combine Bayesian inference, reinforcement learning, and rate-distortion theory? A: A way to formalize capacity-limited cognition in biological and artificial decision-making agents! New paper with @mark_ho_, @noahdgoodman, & BVR - arxiv.org/abs/2305.03263
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    Mark Ho
    @mark_ho_
    Nov 9, 2022
    SUPER excited to share a new pre-print on how people break down big problems into smaller, more manageable ones 🎉🎉🎉 This work was done with @cocosci_lab @nathanieldaw @callfredaway and spearheaded by the brilliant @_cgcorrea 🙌🥳
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    carlos g. correa
    @_cgcorrea
    Nov 9, 2022
    ✨Preprint✨ w/ @mark_ho_, @callfredaway, @nathanieldaw, & Tom Griffiths: arxiv.org/abs/2211.03890 TLDR: How do people decompose goals into subgoals? We ran a large-scale experiment to test how the computational cost of planning drives subgoal choice. More in 🧵
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    Mark Ho
    @mark_ho_
    May 23, 2022
    By the time a dog, cat, or chimpanzee turns 5, its seen a similar number of "frames" to learn how the world works through self-supervised learning. But a 5yo human can do things a 5yo dog/cat/chimp can't (e.g., use language productively, etc).
    user avatar
    Yann LeCun
    @ylecun
    May 23, 2022
    By the time a human child turns 5, she has seen the equivalent of 800 million "frames" of video + audio + touch to learn how the world works through Self-Supervised Learning. Much of it is acquired actively. 5 years * 365 days * 12 hours * 3600 seconds * 10 fps = 788.4 million
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    Mark Ho
    @mark_ho_
    Jun 7, 2022
    So excited for #RLDM2022 and Saturday's #RLasAgency workshop, organized with the amazing @aharutyu + @dabelcs 🤩🤩 We'll be discussing the limits+possibilities of RL as a model of agency in cog sci/neuro/philosphy/AI with a brilliant group of scholars... sites.google.com/view/rl-as-age…