Hostname: page-component-89b8bd64d-b5k59 Total loading time: 0 Render date: 2026-05-08T08:04:42.055Z Has data issue: false hasContentIssue false
  • English
  • Français

Using the sender–receiver framework to understand the evolution of languages-of-thought

Published online by Cambridge University Press:  28 September 2023

Ronald J. Planer Open the ORCID record for Ronald J. Planer [Opens in a new window]
Ronald J. Planer*
Affiliation:
School of Liberal Arts, Faculty of Arts, the Social Science and Humanities, University of Wollongong, Wollongong, NSW, Australia rplaner@uow.edu.au https://scholars.uow.edu.au/display/ronald_planer
Get access Rights & Permissions [Opens in a new window]

Abstract

This commentary seeks to supplement the case Quilty-Dunn et al. make for the psychological reality of languages-of-thought (LoTs) in two ways. First, it focuses on the reduced physical demands which LoT architectures often make compared to alternative architectures. Second, it embeds LoT research within a broader framework that can be leveraged to understand the evolution of LoTs.

Information

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e287
Check for updates
Copyright
Copyright © The Author(s), 2023. 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.)

Article purchase

Temporarily unavailable

References

Clayton, N. S., & Krebs, J. R. (1995). Memory in food-storing birds: From behaviour to brain. Current Opinion in Neurobiology, 5(2), 149–154.CrossRefGoogle Scholar
Clayton, N. S., Yu, K. S., & Dickinson, A. (2001). Scrub jays (Aphelocoma coerulescens) form integrated memories of the multiple features of caching episodes. Journal of Experimental Psychology: Animal Behavior Processes, 27(1), 17.Google ScholarPubMed
Gallistel, C. R. (1990). The organization of learning (Vol. 336). MIT Press.Google Scholar
Gallistel, C. R. (2008). Learning and representation. Learning and Memory: A Comprehensive Reference, 1, 227–242.Google Scholar
Gallistel, C. R., & King, A. P. (2011). Memory and the computational brain: Why cognitive science will transform neuroscience. John Wiley.Google Scholar
Godfrey-Smith, P. (2014). Sender–receiver systems within and between organisms. Philosophy of Science, 81(5), 866–878.CrossRefGoogle Scholar
Lewis, D. (1969). Convention: A philosophical study. Harvard University Press.Google Scholar
Planer, R. J. (2019). The evolution of languages of thought. Biology & Philosophy, 34, 1–27.CrossRefGoogle Scholar
Planer, R. J., & Godfrey-Smith, P. (2021). Communication and representation understood as sender–receiver coordination. Mind & Language, 36(5), 750–770.CrossRefGoogle Scholar
Skyrms, B. (1995). Evolution of the social contract. Cambridge University Press.Google Scholar
Skyrms, B. (2004). The stag hunt and the evolution of social structure. Cambridge University Press.Google Scholar
Skyrms, B. (2010). Signals: Evolution, learning, and information. Oxford University Press.CrossRefGoogle Scholar