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Metacognitive Psychophysics in Humans, Animals, and AI: A Research Agenda for Mapping Introspective Systems
Journal of Consciousness Studies 30 (9):113-128 (2023)
Abstract
Kammerer and Frankish (this issue) propose an exciting new research programme on the computational form of introspective systems. Pursuing this goal requires measures that can isolate introspective capacity from response biases and first-order processes. I suggest that metacognitive psychophysics is well placed to meet this challenge, allowing the mapping of introspective architectures in humans, animals, and artificial systems.Other Versions
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References found in this work
A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings.Brian Maniscalco & Hakwan Lau - 2012 - Consciousness and Cognition 21 (1):422-430.
Know thyself: Metacognitive networks and measures of consciousness.Antoine Pasquali, Bert Timmermans & Axel Cleeremans - 2010 - Cognition 117 (2):182-190.
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