Tobias Gerstenberg
@tobigerstenberg
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Tea drinking assistant professor in cognitive psychology @Stanford. Please find me on 🦋: https://t.co/BxTuulnNkw
Stanford, CA
Joined February 2016
RT @maxhkw: I’m recruiting PhD students to join the Computational Minds and Machines Lab at the University of Washington in Seattle! Join u….
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Thanks @dharakyu for sharing your fascinating work with us on "Interactive discovery of program-like social norms". Dhara builds and tests computational models of how people generate structured joint action plans that balance reward, fairness, and implementation complexity.
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Thank you Seda Akbiyik for sharing your work with us on "Agents, Objects, and Actions" 🕵️⚽️👏 Seda explores the neural representation of dynamic information. She finds remarkable similarities in how the brain processes physical and social interactions.
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RT @M_Prinzing: Is the purpose of a life at all related to the purpose of a knife? They seem totally different. Yet, 3 large experiments (t….
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People attribute purposes in both mundane and profound ways—such as when thinking about the purpose of a knife and the purpose of a life. In three studies (total N = 13,720 observations from N =...
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Thank you @MarleneBerke for presenting your work today on bridging the gap between mental representations and the real world 🧠__ 🗑️__🌏. Marlene shows how building meta-cognitive capacities into artificial systems can result in better models of perception and social inference.
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Thanks @xuanalogue for visiting us this week and presenting your work on "Scaling Cooperative Intelligence via Bayesian Inverse Planning". Xuan develops sophisticated planning methods to build theories of how resource-rational agents infer mental states from others' actions.
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"Caused" is more specific than "enabled" which is more specific than "affected". For example, we can say "A enabled B but didn't cause it" but can't say "A caused B but didn't enable it". Much more here: 3/3.
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The words we use to describe what happened shape what comes to a listener's mind. How do speakers choose what causal expressions to use? How does that choice impact what listeners imagine? In this...
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The paper now has more details on how our model builds on prior work and how it makes qualitatively new predictions. Whereas prior work says that "caused" and "enabled" are inconsistent (only one can be true), we show that the these words live on a hierarchy of specificity. 2/3
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This paper has been significantly updated -- including its title 🧑🏫 In "Causation, Meaning, and Communication", Ari Beller develops and tests a computational account of how people use and interpret different causal expressions (like "caused", "enabled", and "affected"). 1/3.
Excited to introduce the 'Counterfactual Simulation Model of Causal Language' 🎱➡️💬 (led by Ari Beller, which captures how people's causal representations of what happened translate into language. 📰📎🧵.
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RT @jphilippfranken: Presenting this tomorrow at @COLM_conf! Poster 36 (11:00 AM-1:00 PM). We’ll have a demo—come along if you want to try….
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Excited to introduce the 🕵️♀️ MARPLE benchmark for studying long horizon inferences in whodunit scenarios based on multi-modal data (vision 👀, sound 👂, and text 🗨️).
Everyday, we solve a number of "whodunit" mysteries: Who left the fridge open? Who spilled the food? Who turned on the light?. Humans seamlessly combine evidence from multiple senses to figure this out. We introduce MARPLE 🕵️♀️– a benchmark for long-horizon, multimodal inference.
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I had a great time at the @ipam_ucla workshop on "Analyzing high-dimensional traces of intelligent behavior" last week. Thanks a lot to the organizers for making it happen 🙏 . You can see a recording of my talk here:
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Thanks @TheDissenterYT for having me 🙏.
New episode (999), with Dr. Tobias Gerstenberg (@tobigerstenberg). We explore how people think about causality and moral responsibility. #Philosophy #ethics . YouTube: Podcast:
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RT @gandhikanishk: (1/7) How well do foundation models make affective inferences? Do they understand emotions like humans? We tested 3 foun….
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RT @noahdgoodman: You give your partner flowers. They become angry. Why? It turns out language models are good at this — superhuman affecti….
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RT @TaniaLombrozo: Accounts of learning typically focus on learning from external observations. But sometimes we learn without external inp….
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RT @StanfordPsych: Are you thinking of applying to PhD programs in psychology but unsure about how to start or whether it's a good fit?….
docs.google.com
Join Stanford Psychology graduate students, research assistants, and faculty for a free one-day virtual information session and workshop on applying to research positions and Ph.D. programs in...
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I was fortunate that @stratis_ visited our lab for a summer. He is amazing!!.
👋I am on the academic job market, looking for tenure-track positions. I work on machine learning, decision making, and social aspects of AI. Let's get in touch if your institution is hiring!.💻😀Shares are very much appreciated!
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I recently found a much better version of when2meet. It's called schej! . Some of the features I love: 1) gcal integration (pre-fill availability), 2) optional email when someone fills it in, 3) poll for dates only, 4) schedule far into the future. It's free + open source! 💚
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RT @mark_ho_: I'm looking for a postdoc interested in computational cognitive modeling and deep reinforcement learning!. Submit a CV and re….
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