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After phrenology: Time for a paradigm shift in cognitive science

Published online by Cambridge University Press:  30 June 2016

Paul Benjamin Badcock
Affiliation:
Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia, 3010. pbadcock@unimelb.edu.au Centre for Youth Mental Health, The University of Melbourne, Melbourne, Australia, 3052. Orygen, The National Centre of Excellence in Youth Mental Health, Melbourne, Australia, 3052.
Annemie Ploeger
Affiliation:
Department of Psychology, University of Amsterdam, 1018 XA Amsterdam, The Netherlands. a.ploeger@uva.nlhttp://www.uva.nl/profiel/a.ploeger
Nicholas Brian Allen
Affiliation:
Department of Psychology, University of Oregon, Eugene, OR 97403. nallen3@uoregon.eduhttp://psychology.uoregon.edu/profile/nallen3/

Abstract

Anderson (2014) uses an impressive, consolidating review of the literature to argue for major changes in cognitive science. Arguably, however, much of what he proposes is not particularly new. He also neglects important predictive coding approaches that call his perspective of the brain into question, and his misconstrual of evolutionary psychology devalues an influential paradigm that promises to complement his own.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2016 

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References

Anderson, M. L. (2014) After phrenology: Neural reuse and the interactive brain. MIT Press.Google Scholar
Badcock, P. B. (2012) Evolutionary systems theory: A unifying meta-theory of psychological science. Review of General Psychology 16:1023. doi: 10.1037/a0026381.Google Scholar
Barrett, H. C. (2008) Evolutionary psychology is a union of fields, not a subset. Psychological Inquiry 19:1940. doi: 10.1080/10478400701774022.Google Scholar
Buller, D. J. (2005) Adapting minds: Evolutionary psychology and the persistent quest for human nature. MIT Press.Google Scholar
Buss, D. M. (2012) Evolutionary psychology: The new science of the mind, fourth edition. Allyn & Bacon.Google Scholar
Caporael, L. R. (1997) The evolution of truly social cognition: The core configurations model. Personality and Social Psychology Review 1(4):276–98. doi: 10.1207/s15327957pspr0104_1.Google Scholar
Caporael, L. R. (2001) Evolutionary psychology: Toward a unifying theory and a hybrid science. Annual Review of Psychology 52:607–28. doi: 10.1146/annurev.psych.52.1.607.CrossRefGoogle Scholar
Clark, A. (2013a) Are we predictive engines? Perils, prospects, and the puzzle of the porous perceiver. Behavioral and Brain Sciences 36(3):233–53. doi: 10.1017/S0140525X12002440.Google Scholar
Clark, A. (2013b) Whatever next? Predictive brains, situated agents, and the future of cognitive science. Behavioral and Brain Sciences 36(3):181204. doi: 10.1017/S0140525X12000477.Google Scholar
Crawford, C. B. & Krebs, D. (2008) Foundations of evolutionary psychology. Erlbaum.Google Scholar
Dewsbury, D. A. (2009) More on evolution and psychology. American Psychologist 64:624–25. doi: 10.1037/a0017380.Google Scholar
Dunbar, R. I. M. & Barrett, L., eds. (2007) Oxford handbook of evolutionary psychology. Oxford University Press.Google Scholar
Ellis, B. J. & Bjorklund, D. F., eds. (2005) Origins of the social mind: Evolutionary psychology and child development. Guilford.Google Scholar
Fotopoulou, A. (2014) Time to get rid of the “modular” in neuropsychology: A unified theory of anosognosia as aberrant predictive coding. Journal of Neuropsychology 8:119. doi: 10.1111/jnp.12010.Google Scholar
Frankenhuis, W. E., Panchanathan, K. & Barrett, H. C. (2013) Bridging developmental systems theory and evolutionary psychology using dynamic optimization. Developmental Science 16:584–98. doi: 10.1111/desc.12053.Google Scholar
Friston, K. (2010) The free-energy principle: A unified brain theory? Nature Reviews: Neuroscience 11:127–38. doi: 10.1038/nrn2787.CrossRefGoogle ScholarPubMed
Friston, K., Daunizeau, J. & Kiebel, S. (2009) Reinforcement learning or active inference? PLoS One 4(7):e6421. doi: 10.1371/journal.pone.0006421.Google Scholar
Friston, K. J. (2005) A theory of cortical responses. Philosophical Transactions of the Royal Society of London B: Biological Sciences 360:815–36. doi: 10.1098/rstb.2005.1622.CrossRefGoogle ScholarPubMed
Friston, K. J., Daunizeau, J., Kilner, J. & Kiebel, S. J. (2010) Action and behavior: A free-energy formulation. Biological Cybernetics 102:227–60. doi: 10.1007/s00422-010-0364-z.Google Scholar
Geary, D. C. & Bjorklund, D. F. (2000) Evolutionary developmental psychology. Child Development 71:5765. doi: 10.1111/1467-8624.00118.Google Scholar
Gregory, R. L. (1980) Perceptions as hypotheses. Philosophical Transactions of the Royal Society of London B: Biological Sciences 290:181–97. doi: 10.1098/rstb.1980.0090.Google Scholar
Hohwy, J. (2013) The predictive mind. Oxford University Press.Google Scholar
Karmiloff-Smith, A. (1992) Beyond modularity: A developmental perspective on cognitive science. MIT Press.Google Scholar
Kelso, J. A. S. (1995) Dynamic patterns: The self-organization of brain and behavior. MIT Press.Google Scholar
Kenrick, D. T. (2001) Evolutionary psychology, cognitive science, and dynamical systems: Building an integrative paradigm. Current Directions in Psychological Science 10:1317. doi: 10.1111/1467-8721.00104.CrossRefGoogle Scholar
Kenrick, D. T., Maner, J. K., Butner, J., Li, N. P., Becker, D. V. & Schaller, M. (2002) Dynamical evolutionary psychology: Mapping the domains of the new interactionist paradigm. Personality and Social Psychology Review 6:347–56. doi: 10.1207/S15327957PSPR0604_09.Google Scholar
Klasios, J. (2014) Our computational nature: Comment on Barrett et al. Frontiers in Psychology 5:1348. doi: 10.3389/fpsyg.2014.01348.Google Scholar
Lickliter, R. & Honeycutt, H. (2003) Developmental dynamics: Toward a biologically plausible evolutionary psychology. Psychological Bulletin 129:819–35. doi: 10.1037/0033-2909.129.6.819.Google Scholar
LoBue, V. & Rakison, D. H. (2013) What we fear most: A developmental advantage for threat-relevant stimuli. Developmental Review 33:285303. doi: 10.1016/j.dr.2013.07.005.Google Scholar
Lupyan, G. (2015) Cognitive penetrability of perception in the age of prediction: Predictive systems are penetrable systems. Review of Philosophy and Psychology 6(4):547–69. doi: 10.1007/s13164-015-0253-4.Google Scholar
Masataka, N., Hayakawa, S. & Kawai, N. (2010) Human young children as well as adults demonstrate “superior” rapid snake detection when typical striking posture is displayed by the snake. PLoS One 5:e15122. doi: 10.1371/journal.pone.0015122.CrossRefGoogle ScholarPubMed
McIntosh, A. R. (2000) Towards a network theory of cognition. Neural Networks 13:861–70. doi: 10.1016/S0893-6080(00)00059-9.Google Scholar
Mesulam, M.-M. (1990) Large-scale neurocognitive networks and distributed processing for attention, language and memory. Annals of Neurology 28:597–13. doi: 10.1002/ana.410280502.Google Scholar
Meunier, D., Lambiotte, R. & Bullmore, E. T. (2010) Modular and hierarchically modular organization of brain networks. Frontiers in Neuroscience 4:200. doi: 10.3389/fnins.2010.00200.Google Scholar
Pfeifer, J. H. & Allen, N. B. (2012) Arrested development? Reconsidering dual-systems models of brain function in adolescence and disorders. Trends in Cognitive Sciences 16(6):322–29. Available at: http://doi.org/10.1016/j.tics.2012.04.011.Google Scholar
Pinker, S. (1997) How the mind works. Norton.Google Scholar
Ploeger, A., Van Der Maas, H. J. L. & Raijmakers, M. E. J. (2008) Is evolutionary psychology a metatheory for psychology? A discussion of four major issues in psychology from an evolutionary developmental perspective. Psychological Inquiry 19:118. doi: 10.1080/10478400701774006.CrossRefGoogle Scholar
Price, C. J. & Friston, K. J. (2002) Degeneracy and cognitive anatomy. Trends in Cognitive Sciences 6:416–21. doi: 10.1016/S1364-6613(02)01976-9.Google Scholar
Scott-Phillips, T. C., Dickins, T. E. & West, S. A. (2011) Evolutionary theory and the ultimate-proximate distinction in the human behavioral sciences. Perspectives on Psychological Science 6:3847. doi: 10.1177/1745691610393528.Google Scholar
Shibasaki, M. & Kawai, N. (2009) Rapid detection of snakes by Japanese monkeys (Macaca fuscata): An evolutionarily predisposed visual system. Journal of Comparative Psychology 123(2):131–35. doi: 10.1037/a0015095.CrossRefGoogle ScholarPubMed