Controlled Optimism: Reply to Sun and Firestone on the Dark Room Problem

Published on July 23, 2020

Sun and Firestone [1] argue that the Dark Room Problem poses an important challenge to the ambitions of predictive processing (PP) accounts; specifically, they worry that a standard response threatens the story with triviality, asserting merely that prediction-driven agents avoid dark, food-free corners because they ‘predict that they will not stay in them’.

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