Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-11-28T18:13:18.115Z Has data issue: false hasContentIssue false
  • English
  • Français

Perception versus action: The computations may be the same but the direction of fit differs

Published online by Cambridge University Press:  10 May 2013

Nicholas Shea
Nicholas Shea*
Affiliation:
Department of Philosophy, King's College London, Strand, London WC2R 2LS, United Kingdom. [email protected]://www.kcl.ac.uk/artshums/depts/philosophy/people/staff/academic/shea/index.aspx
Get access Rights & Permissions [Opens in a new window]

Abstract

Although predictive coding may offer a computational principle that unifies perception and action, states with different directions of fit are involved (with indicative and imperative contents, respectively). Predictive states are adjusted to fit the world in the course of perception, but in the case of action, the corresponding states act as a fixed target towards which the agent adjusts the world. This well-recognised distinction helps side-step some problems discussed in the target article.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 36 , Issue 3 , June 2013 , pp. 228 - 229
Copyright
Copyright © Cambridge University Press 2013 

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

Eliasmith, C. (2007) How to build a brain: From function to implementation. Synthese 159(3):373–88.CrossRefGoogle Scholar
Hurley, S. (1998) Consciousness in action. Harvard University Press.Google Scholar
Todorov, E. (2004) Optimality principles in sensorimotor control. Nature Neuroscience 7(9):907–15.CrossRefGoogle ScholarPubMed
Todorov, E. (2006) Optimal control theory. In: Bayesian brain, ed. Doya, K., pp. 269–98. MIT Press.CrossRefGoogle Scholar
Todorov, E. & Jordan, M. I. (2002) Optimal feedback control as a theory of motor coordination. Nature Neuroscience 5(11):1226–35.CrossRefGoogle ScholarPubMed