Roman Tikhonov
@rvtikhonov_
Prediction, explanation, and control are usually treated separately. A new paper with Roman Tikhonov and Sarah Marzen, combines basic ideas from cognitive science, philosophy, and machine learning to look at them together. openreview.net/pdf?id=xk41NgC…
We present an improved method (with code) to infer "Cultural Landscapes". We validate the method with simulations, and present a case study on the DRH (DRH). My first paper out in Entropy MDPI with Simon DeDeo (Laboratory for Social Minds): mdpi.com/1099-4300/25/2…
🔥🔥🔥 Published last week in Nature Human Behaviour: Quality research needs good working conditions. nature.com/articles/s4156…
Lovely coverage of work with Victor Møller, on how we built explainable machine learning tools that could handle the biased, ambiguous, and fragmented cross-cultural history of religions. First paper at doi.org/10.3390/e25020… ; new work to debut at CogSci 2023!
Carving joints into nature: reengineering scientific concepts in light of concept-laden evidence Review by Marina Dubova & Robert Goldstone Marina Dubova Robert Goldstone Free access until June 29th: bit.ly/3MuIGS4
It's the most hilarious example what is called "low processing fluency" in cognitive psychology, or "sludge" in behavioral economics (check out Cass Sunstein's book)
Should we communicate visual categories through words, visual examples, or both? The answer depends on category structure and available communication volume 📢New from Arseny Moskvichev (Arseny Moskvichev), Roman Tikhonov (Roman Tikhonov), and Mark Steyvers sciencedirect.com/science/articl…
Control is all you need? Prediction, explanation, and control are distinct capacities, but Roman Tikhonov and I did a series of cross-training to test exactly how they fit together. Now out in The MIT Press @mitpress.bsky.social's Open Mind! direct.mit.edu/opmi/article/d…
📣I'm hiring a lab coordinator for my new lab at UCSD CogSci. This is a great position if you're interested in gaining research experience before applying to graduate school. Apply by May 2, flexible start late summer start date (~Sep 1). Details below! employment.ucsd.edu/laboratory-coo…
Princeton is hiring postdocs interested in projects focused on comparing AI systems to human cognition or using ideas from cognitive science to better understand those systems as part of a new initiative studying Natural and Artificial Minds. Apply at puwebp.princeton.edu/AcadHire/posit…