Computational tweeps: what are your favourite non-GLM computational cognitive models? Working on a pedagogical syllabus, so criteria are simplicity, and wide applicability 1/2
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to different contexts (e.g. reinforcement learning, weighted Bayes and diffusion drift)
@o_guest@vuorre@mcxfrank@psy_farrell@paulbuerkner@psmaldino4 replies 1 retweet 2 likesShow this thread -
I'm not 100% sure what you're asking for but maybe K-means? Would that fit the bill?
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yes, thanks! I've seen it used in modeling the learning how to discriminate vowels. Do you know of other nice cognitive applications?
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Would work to model any kind of categorisation pretty much. Not saying it's prefect but it can explain some of the basics.
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It's definitely simple!
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Another that fits the bill would be https://en.m.wikipedia.org/wiki/Rescorla–Wagner_model …
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Trying to think of more simple stuff... I'll get back to you.
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PCA might be good too.
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nice, thanks! Other stuff I've on my list is random walks, signal detection theory, and basic strategies from economic games (e.g. win stay lose shift).
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