The #DarkRoom discussion continues!

Our initial piece (which revived the problem and reviewed some solutions) now has replies from Karl Friston, @fluffycyborg, @anilkseth, Colin Klein, @sandervdc, @drclbuckley, @BerenMillidge, & @a_tschantz. We reply to them in turn. 🧵👇
If agents are just prediction-error minimizers, why don't they remain in highly predictable environments—like a dark, empty room? This is the Dark Room Problem. It's been around for a while, but some new work has revived it, as we note in a recent paper. https://www.sciencedirect.com/science/article/pii/S1364661320300589
Colin Klein (whose work we review) thinks the Dark Room Problem has been severely underestimated by proponents of PP/FEP:

"There is no free lunch. The simplifications that PP
introduces incur a debt, and it is not a given that it can be repaid." https://psyarxiv.com/vdswk 
This was a pleasure to be part of! Thanks to @TrendsCognSci for making it happen, & to the fantastic scientists + philosophers who wrote in (both pro and con). We didn't quite imagine we'd get to trade thoughts with Friston himself and so many others; it was a treat to do so.
Prediction is a fascinating lens through which to view human perception, cognition, motivation, and action. It seems undeniable that it is part of the end-story of what goes on in our heads. We don't think it's the whole story, though, and we're glad we got a chance to say why!
(Thanks also to several people who gave super insightful comments to us throughout this: @De_dicto, @NeuroPolarbear, @danwilliamsphil, @ibphillips, @jorgemlg, Colin Klein, Steven Gross [ @jhu_philosophy], and many other members of our lab.)
You can follow @chazfirestone.
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