Hostname: page-component-586b7cd67f-2plfb Total loading time: 0 Render date: 2024-11-24T10:59:20.719Z Has data issue: false hasContentIssue false

Knowledge by default

Published online by Cambridge University Press:  19 November 2021

Robert M. Gordon*
Affiliation:
Department of Philosophy, University of Missouri, St Louis, MO63132, USA. [email protected]

Abstract

The target article presents strong empirical evidence that knowledge is basic. However, it offers an unsatisfactory account of what makes knowledge basic. Some current ideas in cognitive neuroscience – predictive coding and analysis by synthesis – point to a more plausible account that better explains the evidence.

Type
Open Peer Commentary
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Baker, C. L., Saxe, R., & Tenenbaum, J. B. (2009). Action understanding as inverse planning. Cognition, 113, 329349.10.1016/j.cognition.2009.07.005CrossRefGoogle ScholarPubMed
Blakemore, S.-J., & Frith, C. (2005). The role of motor contagion in the prediction of action. Neuropsychologia, 43, 260267.CrossRefGoogle ScholarPubMed
Bouquet, C. A., Shipley, T. F., Capa, R. L., & Marshall, P. J. (2011). Motor contagion: Goal-directed actions are more contagious than non-goal-directed actions. Experimental Psychology, 58(1), 7178.10.1027/1618-3169/a000069CrossRefGoogle ScholarPubMed
Clark, A. (2013). Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences, 36, 181253.CrossRefGoogle ScholarPubMed
Gordon, R. M. (2021). Simulation, predictive coding, and the shared world. In Ochsner, K. & Gilead, M. (Eds.), The neural basis of mentalizing (pp. 36–37). Springer Nature.Google Scholar
Jara-Ettinger, J. (2019). Theory of mind as inverse reinforcement learning. Current Opinion in Behavioral Sciences, 29, 105110.10.1016/j.cobeha.2019.04.010CrossRefGoogle Scholar
Koster-Hale, J., & Saxe, R. (2013). Theory of mind: A neural prediction problem. Neuron, 79, 836848.CrossRefGoogle ScholarPubMed