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The economics of cognitive effort

Published online by Cambridge University Press:  04 December 2013

John Andrew Westbrook
Affiliation:
Psychology Department, Washington University in St. Louis, St. Louis, MO 63130-4899. jawestbrook@wustl.eduhttp://ccpweb.wustl.edu/westbrook.htmltbraver@artsci.wustl.eduhttp://ccpweb.wustl.edu/braver.html
Todd S. Braver
Affiliation:
Psychology Department, Washington University in St. Louis, St. Louis, MO 63130-4899. jawestbrook@wustl.eduhttp://ccpweb.wustl.edu/westbrook.htmltbraver@artsci.wustl.eduhttp://ccpweb.wustl.edu/braver.html

Abstract

If cognitive effort indexes opportunity costs, it should be investigated like other cost factors including risk and delay. We discuss recent methodological advances in behavioral economics and neuroeconomics, highlighting our own work in measuring the subjective (economic) value of cognitive effort. We discuss the implications of Kurzban et al.'s proposal and how some of its predictions may be untestable without behavioral economic formalisms.

Type
Open Peer Commentary
Copyright
Copyright © Cambridge University Press 2013 

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References

Alessi, S. M. & Petry, N. M. (2003) Pathological gambling severity is associated with impulsivity in a delay discounting procedure. Behavioural Processes 64(3):345–54. doi:10.1016/S0376-6357(03)00150-5.Google Scholar
Bickel, W. K., Miller, M. L., Yi, R., Kowal, B. P., Lindquist, D. M. & Pitcock, J. A. (2007) Behavioral and neuroeconomics of drug addiction: Competing neural systems and temporal discounting processes. Drug and Alcohol Dependence 90:S85S91. doi:10.1016/j.drugalcdep.2006.09.016.Google Scholar
Botvinick, M. M., Huffstetler, S. & McGuire, J. T. (2009) Effort discounting in human nucleus accumbens. Cognitive, Affective, and Behavioral Neuroscience 9(1):1627. doi:10.3758/CABN.9.1.16.CrossRefGoogle ScholarPubMed
Cacioppo, J. T. & Petty, R. E. (1982) The need for cognition. Journal of Personality and Social Psychology 42(1):116–31.Google Scholar
Cocker, P. J., Hosking, J. G., Benoit, J. & Winstanley, C. A. (2012) Sensitivity to cognitive effort mediates psychostimulant effects on a novel rodent cost-benefit decision-making task. Neuropsychopharmacology 37(8):1825–37. doi:10.1038/npp.2012.30.Google Scholar
Frederick, S., Loewenstein, G. & O'Donoghue, T. (2002) Time discounting and time preference: A critical review. Journal of Economic Literature 40(2):351401.CrossRefGoogle Scholar
Green, L. & Myerson, J. (2004) A discounting framework for choice with delayed and probabilistic rewards. Psychological Bulletin 130(5):769–92. doi:10.1037/0033-2909.130.5.769.Google Scholar
Huettel, S. A., Stowe, C. J., Gordon, E. M., Warner, B. T. & Platt, M. L. (2006) Neural signatures of economic preferences for risk and ambiguity. Neuron 49(5):765–75. doi:10.1016/j.neuron.2006.01.024.Google Scholar
Kable, J. W. & Glimcher, P. W. (2007) The neural correlates of subjective value during intertemporal choice. Nature Neuroscience 10(12):1625–33.Google Scholar
Kennerley, S. W., Dahmubed, A. F., Lara, A. H. & Wallis, J. D. (2009) Neurons in the frontal lobe encode the value of multiple decision variables. Journal of Cognitive Neuroscience 21(6):1162–78.CrossRefGoogle ScholarPubMed
Kollins, S. H. (2003) Delay discounting is associated with substance use in college students. Addictive Behaviors 28(6):1167–73. doi:10.1016/S0306-4603(02)00220-4.Google Scholar
Kool, W., McGuire, J. T., Rosen, Z. B. & Botvinick, M. M. (2010) Decision making and the avoidance of cognitive demand. Journal of Experimental Psychology: General 139(4):665–82. doi:10.1037/a0020198.Google Scholar
Madden, G. J., Petry, N. M. & Johnson, P. S. (2009) Pathological gamblers discount probabilistic rewards less steeply than matched controls. Experimental and Clinical Psychopharmacology 17(5):283–90. doi:10.1037/a0016806.Google Scholar
McGuire, J. T. & Botvinick, M. M. (2010) Prefrontal cortex, cognitive control, and the registration of decision costs. Proceedings of the National Academy of Sciences USA 107(17):7922–26.CrossRefGoogle ScholarPubMed
Padoa-Schioppa, C. (2011) Neurobiology of economic choice: A good-based model. Annual Review of Neuroscience 34(1):333–59. doi:10.1146/annurev-neuro-061010-113648.Google Scholar
Peters, J. & Büchel, C. (2009) Overlapping and distinct neural systems code for subjective value during intertemporal and risky decision making. Journal of Neuroscience 29(50):15727–34.Google Scholar
Rangel, A., Camerer, C. & Montague, P. R. (2008) A framework for studying the neurobiology of value-based decision making. Nature Reviews Neuroscience 9(7):545–56. doi:10.1038/nrn2357.Google Scholar
Salamone, J. D., Correa, M., Nunes, E. J., Randall, P. A. & Pardo, M. (2012) The behavioral pharmacology of effort-related choice behavior: Dopamine, adenosine and beyond. Journal of the Experimental Analysis of Behavior 97(1):125–46. doi:10.1901/jeab.2012.97-125.Google Scholar
Thaler, R. (1981) Some empirical evidence on dynamic inconsistency. Economics Letters 8(3):201207.Google Scholar
Venables, L. & Fairclough, S. H. (2009) The influence of performance feedback on goal-setting and mental effort regulation. Motivation and Emotion 33(1):6374.CrossRefGoogle Scholar
Westbrook, A., Kester, D., & Braver, T. S. (2013) What is the subjective cost of cognitive effort? Load, trait, and aging effects revealed by economic preference. PLoS One 8(7). doi:10.1371/journal.pone.0068210.t004 CrossRefGoogle ScholarPubMed