Hostname: page-component-77c89778f8-9q27g Total loading time: 0 Render date: 2024-07-16T20:51:33.254Z Has data issue: false hasContentIssue false

Neuroethology and the Philosophy of Cognitive Science

Published online by Cambridge University Press:  01 April 2022

Brian L. Keeley*
Affiliation:
Pitzer College
*
Send requests for reprints to the author, Pitzer College, 1050 North Mills Avenue, Claremont, CA 91711; e-mail: keeley@winearth.wustl.edu.

Abstract

Neuroethology is a branch of biology that studies the neural basis of naturally occurring animal behavior. This science, particularly a recent program called computational neuroethology, has a similar structure to the interdisciplinary endeavor of cognitive science. I argue that it would be fruitful to conceive of cognitive science as the computational neuroethology of humans. However, there are important differences between the two sciences, including the fact that neuroethology is much more comparative in its perspective. Neuroethology is a biological science and as such, evolution is a central notion. Its target organisms are studied in the context of their evolutionary history. The central goal of this paper is to argue that cognitive science can and ought to be more comparative in its approach to cognitive phenomena in humans. I show how the domain of cognitive phenomena can be divided up into four different classes, individuated by the relative phylogenetic uniqueness of the behavior. I then describe how comparative evidence can enrich our understanding in each of these different arenas.

Type
Philosophy of Biology, Psychology, and Neuroscience
Copyright
Copyright © 2000 by the Philosophy of Science Association

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.)

Footnotes

Special thanks to those who commented on earlier drafts: Gary Hatfield, Bill Hirstein, Todd Preuss, and Whit Schonbein. Portions of this paper are taken from the author's 1997 Ph.D. dissertation, written under the supervision of Sandra Mitchell and Patricia Churchland at the University of California, San Diego (UCSD). This work was suported by grants from the National Institute of Mental Health (NRSA #1 F31 MH10676-01), the McDonnell-Pew Center for Cognitive Neuroscience, and the UCSD Department of Philosophy.

References

Beer, Randall D. (1990), Intelligence as Adaptive Behavior: An Experiment in Computational Neuroethology. San Diego: Academic Press.Google Scholar
Brothers, L. and Ring, B. (1992), “A Neuroethological Framework for the Representation of Minds”, Journal of Cognitive Neuroscience 4: 107118.10.1162/jocn.1992.4.2.107CrossRefGoogle ScholarPubMed
Bullock, Theodore H. (1984), “In Defense of Open Range: Don't Fence Me In”, Behavioral and Brain Sciences 7: 383.10.1017/S0140525X00018677CrossRefGoogle Scholar
Bullock, Theodore H. (1990), “Goals of Neuroethology: Roots, Rules, and Relevance Go Beyond Stories of Special Adaptations”, BioScience 40: 244248.10.2307/1311260CrossRefGoogle Scholar
Bullock, Theodore H. (1993), How Do Brains Work? Papers of a Comparative Neurophysiologist. Boston: Birkhäuser.10.1007/978-1-4684-9427-3CrossRefGoogle Scholar
Carr, Catherine E. (1993), “Processing of Temporal Information in the Brain”, in Cowan, W. M. (ed.), Annual Review of Neuroscience 16. Palo Alto, CA: Annual Reviews Inc., 223–243.Google Scholar
Carruthers, Peter and Smith, Peter K. (1996), Theories of Theories of Mind. Cambridge: Cambridge University Press.10.1017/CBO9780511597985CrossRefGoogle Scholar
Churchland, Paul M. and Churchland, Patricia S., (1983), “Stalking the Wild Epistemic Engine”, Noûs 17: 520.10.2307/2214808CrossRefGoogle Scholar
Cliff, Dave T. (1991a), Animate Vision in an Artificial Fly: A Study in Computational Neuroethology. Ph.D. Dissertation, University of Sussex, Brighton, UK.Google Scholar
Cliff, Dave T. (1991b), “Computational Neuroethology: A Provisional Manifesto”, in Meyer, J.-A. and Wilson, S. W. (eds.), From Animals to Animats: Proceedings of the First International Conference on Simulation of Adaptive Behavior. Cambridge, MA: MIT Press, 2939. A revised version is available as Ch. 1 of Cliff 1991a.Google Scholar
Cliff, Dave T. (1995), “Neuroethology, Computational”, in Arbib, M. A. (ed.), Handbook of Brain Theory and Neural Networks. Cambridge, MA: MIT Press.Google Scholar
Eaton, S. B., Eaton, S. B. III, and Konner, M. J. (1997), “Paleolithic Nutrition Revisited: A Twelve-year Retrospective on its Nature and Implications”, European Journal of Clinical Nutrition 51: 207216.10.1038/sj.ejcn.1600389CrossRefGoogle ScholarPubMed
Eibl-Eibesfeldt, Irenaus (1983), “The Comparative Approach in Human Ethology”, in Rajecki, D. W. (ed.), Comparing Behavior: Studying Man Studying Animals. Hillsdale, NJ: Lawrence Erlbaum Associates, 4365.Google Scholar
Foley, Robert (1987), Another Unique Species: Patterns in Human Evolutionary Ecology. New York: Wiley.Google Scholar
Goodman, M. (1992), “Reconstructing Human Evolution from Proteins”, in Jones, S., Martin, R., and Pilbeam, D. (eds.), The Cambridge Encyclopedia of Human Evolution. Cambridge: Cambridge University Press, 000000.Google Scholar
Gopnik, Alison (1996), “Theories and Modules: Creation Myths, Developmental Realities, and Neurath's Boat”, in Carruthers and Smith 1996, 69183.10.1017/CBO9780511597985.012CrossRefGoogle Scholar
Heiligenberg, Walter (1991), Neural Nets in Electric Fish. Cambridge, MA: MIT Press/ A Bradford Book.Google Scholar
Hoyle, Graham (1984), “The Scope of Neuroethology”, Behavioral and Brain Sciences 7: 367412.10.1017/S0140525X0001863XCrossRefGoogle Scholar
Hutchins, Edwin (1995), Cognition in the Wild. Cambridge, MA: MIT Press.Google Scholar
Keeley, Brian L. (1999), “Fixing Content and Function in Neurobiological Systems: The Neuroethology of Electroreception”, Biology and Philosophy 14: 395430.10.1023/A:1006594531789CrossRefGoogle Scholar
Povinelli, Daniel J. and Preuss, Todd M. (1995), “Theory of Mind: Evolutionary History of a Cognitive Specialization.Trends in Neurosciences 18: 418424.10.1016/0166-2236(95)93939-UCrossRefGoogle ScholarPubMed
Premack, D. and Woodruff, G. (1978), “Does the Chimpanzee Have a Theory of Mind?Behavioral and Brain Sciences 1: 515526.10.1017/S0140525X00076512CrossRefGoogle Scholar
Sereno, M. I., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., and Tootell, R. B. H. (1995), “Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging”, Science 268: 889893.10.1126/science.7754376CrossRefGoogle ScholarPubMed
Tinbergen, N. (1963), “On Aims and Methods of Ethology”, Zeitschrift für Tierpsychologie, 20: 410–33. Reprinted in Lynne Houck and Lee Drickamer (eds.), Foundations of Animal Behavior: Classic Papers with Commentaries. Chicago: University of Chicago Press, 114137.Google Scholar
Washburn, S. L. and Dolhinow, P. C. (1983), “Comparison of Human Behaviors”, in Rajecki, D. W. (ed.), Comparing Behavior: Studying Man Studying Animals. Hillsdale, NJ: Lawrence Erlbaum Associates, 2742.Google Scholar
Wehner, Rüdiger (1983), “Celestial and Terrestrial Navigation: Human Strategies—Insect Strategies”, in Huber, F. and Markl, H. (eds.), Neuroethology and Behavioral Physiology: Roots and Growing Points. Berlin: Springer-Verlag, 366381.10.1007/978-3-642-69271-0_26CrossRefGoogle Scholar
Wehner, R., Harkness, R. D., and Schmid-Hempel, P. (1983), Foraging Strategies in Individually Searching Ants Cataglyphis bicolor (Hymenoptera: Formicidae). Stuttgart: Gustav Fischer Verlag.Google Scholar
Whiten, Andrew (ed.) (1991), Natural Theories Of Mind: Evolution, Development, and Simulation of Everyday Mindreading. Oxford: B. Blackwell.Google Scholar