Metacognitive Psychophysics in Humans, Animals, and AI: A Research Agenda for Mapping Introspective Systems

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.