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Intro

RIM

Global Workspace Theory

Higher-Order Theories

Additional Theories & Ideas

References
  1. Goyal, A., & Bengio, Y. (2022). Inductive biases for deep learning of higher-level cognition. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 478(2266). 10.1098/rspa.2021.0068
  2. Seth, A. K., & Bayne, T. (2022). Theories of consciousness. Nature Reviews Neuroscience, 23(7), 439–452. 10.1038/s41583-022-00587-4
  3. Volzhenin, K., Changeux, J.-P., & Dumas, G. (2022). Multilevel development of cognitive abilities in an artificial neural network. Proceedings of the National Academy of Sciences, 119(39). 10.1073/pnas.2201304119
  4. Fleming, S. M. (2020). Awareness as inference in a higher-order state space. Neuroscience of Consciousness, 2020(1). 10.1093/nc/niz020
  5. Pasquali, A., Timmermans, B., & Cleeremans, A. (2010). Know thyself: Metacognitive networks and measures of consciousness. Cognition, 117(2), 182–190. 10.1016/j.cognition.2010.08.010