Also, too much focus in modeling on prediction & testing in (simple) lab tasks, too little on explanatory theories of real-world cognition.
-
-
Do you know a good example of this? I find the critique compelling, but struggle to see what an alternative would look like in practice.
1 reply 0 retweets 0 likes -
One notable approach that makes this case, as well, is the adaptive toolbox of fast and frugal heuristics by Gigerenzer, Todd & colleagues.
1 reply 1 retweet 2 likes -
Though other approaches also purport to apply to real-world cognition: Bayesian models, connectionist models, ACT-R models. Many of them are
1 reply 1 retweet 2 likes -
tested in lab settings, but often overlooked that to apply in real world they should be scalable beyond the simple conditions in the lab.
1 reply 1 retweet 2 likes -
My own theoretical research focusses on how scalability requirement can be met; but see also work by e.g.
@JohanKwisthout and@MarkBlokpoel1 reply 1 retweet 3 likes -
Replying to @IrisVanRooij @NickFoxstats and
This is what I found interesting about
@DrLoveBC's paper on decision making in supermarket — Opposite of in lab.https://www.nature.com/articles/s41562-016-0017 …1 reply 0 retweets 3 likes -
-
Replying to @IrisVanRooij @NickFoxstats and
I mean only that point is what was directly relevant.
1 reply 0 retweets 0 likes -
Replying to @o_guest @NickFoxstats and
I understood.
But looks in general relevant for me / my research.1 reply 0 retweets 1 like
Ah, that's lucky! Enjoy! 
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.