Bonan Zhao (赵博囡)
@bonan.bsky.social
PI Computational Cognitive Science (BoCoCo) lab in Edinburgh 🏴 https://zhaobn.github.io
This is so good! The later half ramps up so quickly to so many insightful points on what learning means with today’s technology. Also explains why the writing process can be such a powerful way to facilitate thinking.
Tania Lombrozo@tanialombrozo.bsky.social · last wk.What do rubber ducks have to do with learning and AI? You can find out in my TEDx talk, released today as an Editor’s Pick at the YouTube TED Channel! www.youtube.com/watch?v=cbiy...
Hello world! 👋 We’re Minds, Machines, and Brains (MMB) 👤🤖🧠 a new open access journal from @mitpress.bsky.social exploring the principles of intelligence and cognition across natural and artificial minds. Submissions open this Fall! 🔗 direct.mit.edu/mmb
Minds, Machines, and Brains | MIT Press
direct.mit.edu
Perhaps the best material on causal models, and cognitive scientists also teach in latex beamer
@tadegquillien.bsky.social · 7d agoInterested in learning about Causal Models? The slides for the summer school course that @bonan.bsky.social and I taught at Tsinghua are now online: quillienlab.github.io/summer_school/
Interested in learning about Causal Models? The slides for the summer school course that @bonan.bsky.social and I taught at Tsinghua are now online: quillienlab.github.io/summer_school/
🍄 New paper out in PLOS Computational Biology! 🍄 I, and others, have previously drawn a comparison between the classic “cost-avoidance” argument for social learning and the central idea of resource rationality... (1/8)
What do rubber ducks have to do with learning and AI? You can find out in my TEDx talk, released today as an Editor’s Pick at the YouTube TED Channel! www.youtube.com/watch?v=cbiy...
How you can learn in a world of information overload | Tania Lombrozo | TEDxNewEngland
YouTube video by TEDx Talks
youtube.com
How do people learn abstract knowledge over generations in a crafting game with rich structure? Come by my talk in the cultural evolution session on Friday morning at #CogSci2026 to find out!
If you’re at #cogsci2026, please come see presentations by some of the great folks collaborating with the Language and Cognition Lab at Stanford!
You roll a fair die, hoping to get a 6. If you are successful, did you *intentionally* roll a 6? In a new paper, I explain why people hesitate to call lucky outcomes intentional:🧵 direct.mit.edu/opmi/article...
Time for #CogSci2026 @cogscisociety.bsky.social! Excited to chat about the latest work from my wonderful collaborators - we’ve been thinking about library learning, social learning, and their interaction with resource rationality. Drop a message, or just stop me if you see me!
Excited to announce that I'll be starting my own lab in Tübingen this October! Hiring at all levels: Postdoc, PhD & RA. Want to work on computational cognitive science at scale? Apply: core-cognition.github.io Reposts and shares much appreciated 🙏
Very excited to share that my lab will be moving to Princeton (Neuroscience & Psychology) this fall. I'll be recruiting at all levels (more info to come soon), please share / get in touch if you're interested in joining!
It's always a treat to read Ted Chiang's thoughts on AI. www.theatlantic.com/philosophy/2...
No, Artificial Intelligence Is Not Conscious
Taken to its logical conclusion, this line of thinking is absurd—and damning.
theatlantic.com
Complexity is ubiquitous in the world around us. But different stimuli are complex for different reasons. Does the mind nevertheless represent a ‘unified’ notion of complexity across domains? In @nathumbehav.nature.com, @chazfirestone.bsky.social & I show the answer is: yes! osf.io/preprints/ps...
I totally agree, science is not a simple optimization problem, or at least not in the form conceived by most existing systems. @battleday.bsky.social and I wrote about this recently from a somewhat different perspective (emphasizing the 'problem problem'): gershmanlab.com/pubs/Battled...
gershmanlab.com
Melanie Mitchell@melaniemitchell.bsky.social · 3mo ago"Science is not simply a sequence of tasks that can be optimized....The scientific system thrives on inefficiency: redundant efforts, failed attempts, and divergent paths. These are not costs to be eliminated but sources of discovery." Excellent essay! ⬇️ www.science.org/doi/10.1126/...
Our new paper with @maxtaylordavies.bsky.social introduces a resource-rational model of Theory of Mind. The model can explain many of the successes and failures of mindreading in human adults and children, and non-human primates. 🧵 royalsocietypublishing.org/rspb/article...
Factive mindreading reflects the optimal use of limited cognitive resources
Abstract. The capacity to represent the mental states of other individuals, known as ‘mindreading’ or ‘theory of mind’, is key to successful social predict
royalsocietypublishing.org
New opinion piece on the interface between research on concepts and categories in minds vs. in neural network LMs! I take the position that there is much to be learned from this interface (e.g., learning about concepts from language alone) and outline some directions for future.
My Lab at the University of Edinburgh🇬🇧 has funded PhD positions for this cycle! We study the computational principles of how people learn, reason, and communicate. It's a new lab, and you will be playing a big role in shaping its culture and foundations. Spread the words!
We're hiring! Join us to work at the intersection of social interaction and language technology. Postdoc and PhD positions in my Futures of Language research group, based at Radboud University in Nijmegen, NL Read more: markdingemanse.net/futures/news... #linguistics #interaction #sts #emca #hci
