#neuroscience
website | http://daeh.info |
https://twitter.com/DaeHoulihan | |
github | https://github.com/daeh |
OpenCheck | https://opencheck.is/person/Sean_Dae_Houlihan |
website | http://daeh.info |
https://twitter.com/DaeHoulihan | |
github | https://github.com/daeh |
OpenCheck | https://opencheck.is/person/Sean_Dae_Houlihan |
@elduvelle @NicoleCRust @tdverstynen I wrote an app for this (just needs a browser, and not even an internet connection if you download the html file). Just stick this on a laptop that faces them. It works surprisingly well at keeping people on time (and easily configurable).
Enormous gratitude to my coauthors @rebecca_saxe, Josh Tenenbaum, @max, Luke Hewitt. And also to the reviewers who helped improve the work.
๐ paper: https://daeh.info/pubs/houlihan2023computedappraisals.pdf
โ๏ธ code: https://github.com/daeh/computed-appraisals
23/
This work has wholly transformed how I think about modeling the mind.
It has also been an ideal collaboration in that it has built on, and extended, prior work from all of the coauthors to do something we all imagined was possible. 22/
But the rich model structure is necessary to capture human social cognition, even in this simple game.
Lesioning inverse planning, or lesioning social preferences, impairs the capture of specific emotions.
20/
Finally, we compare our model to simpler alternatives.
The Golden Balls game is highly constrained (two people, binary choices, a pot size).
And this model is elaborate... Counterfactuals over recursive inverse inferences of social preferences, etc.
19/