Ido Ben Artzi
@idoba1
Studying decision-making on the board and in the lab. Chess international master, computational neuroscience student and Brainstorm TAU community leader.
ID: 365383726
https://ido-iba.medium.com/ 31-08-2011 10:38:29
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๐จNew #preprint alert! ๐จ Excited (*100) about this new preprint from my brilliant PhD student Juan Vidal-Perez. We characterise important biases in how people learn from potential disinformation using reinforcement learning. Happy to hear comments/thoughts.
Excited to share my first preprint with Amitai Shenhav Shenhav Lab โFewer Voters Opt Out of Decisions to Reject the Worst Candidateโ papers.ssrn.com/sol3/papers.cfโฆ ๐งต๐งต๐งต
Check out my Nature Human Behaviour invited "behind the paper" post that summarizes our recent article on backward prediction in human choice, "Why people predict backward or forward" communities.springernature.com/posts/why-peopโฆ Yale Psychology Bar Ilan University Hebrew University #sciencecomm
New preprint! The first from my postdoc, on work with basvanopheusden Evan Russek and Griffiths Computational Cognitive Science Lab. We use a data set of over two million decisions to show that people employ sophisticated learning algorithms in naturalistic strategic behavior. More in ๐งตosf.io/preprints/psyaโฆ
ืื ืืืชื ืขื ืืืข ืืืจื ืืื ืืื ืื ืืืืจืฃ. ืชืืืกื ืฉืืืจืืื ืขื ืืขืืจ ืืืคืืช ืืช ืืขืืจ ืืฉืงืืฃ ืืืืคืฉืจืช ืืฆืฆื ืืืืืจืื ืคื ืืืืื. ืืขืืืจ ืืชืืื ื ืื, ืืืฉืื ืื ืืืืงื ืื ืฉืืคืช ืืืื. ืืงืืฆืืจ ืืืกืคืช ืืืืง' ืืืืขืืช ืืชืืื ืืืืื' ืกืืื ืืฉื ืืช ืืช ืืงืื ืืฉืืืจื ืืชืืื ืื ืจืื. ืงืืฉืืจ ืืืืืจ ืืชืืืื ืืืื Matan Arbel-Groissman Rock Mada
Publication alert๐จ! Happy to share my latest work with Lion Schulz Michael; mastodon: @[email protected] Vaughan Bell Peter Dayan and Joe Barnby, published on Computational Psychiatry cpsyjournal.org/articles/10.53โฆ. TL;DR: theory of mind is a dual edge sward in social situations. 1/3
My first first-author paper with Joey Heffner Gloria Feng Jutta Joormann & Robb Rutledge is now published in PNASNews! ๐ Human- and ChatGPT-rated language sentiment of brief text responses predicted changes in depression. doi.org/10.1073/pnas.2โฆ Yale Psychology Yale University ๐งต(1/n)