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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?
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    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 🧵
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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
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    Computational Social Psychology
    From annualreviews.org
    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).
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    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…
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