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Although optimal models are useful, optimality claims are not that common

  • Claire Chambers (a1) and Konrad Paul Kording (a1)

Abstract

Rahnev & Denison (R&D) argue that human behavior is often described as “optimal,” despite many previous findings of suboptimality. We address how the literature handles these concepts and discuss our own findings on suboptimality. Although we agree that the field should embrace the “systematic weirdness of human behavior” (sect. 6, para. 1), this does not detract from the value of the Bayesian approach.

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Acerbi, L., Vijayakumar, S. & Wolpert, D. M. (2014b) On the origins of suboptimality in human probabilistic inference. PLoS Computational Biology 10(6):e1003661. Available at: https://doi.org/10.1371/journal.pcbi.1003661.
Beck, J. M., Ma, W. J., Pitkow, X., Latham, P. E. & Pouget, A. (2012) Not noisy, just wrong: The role of suboptimal inference in behavioral variability. Neuron 74(1):3039. Available at: https://doi.org/10.1016/j.neuron.2012.03.016.
Chambers, C., Fernandes, H. & Kording, K. (2017a) Policies or knowledge: Priors differ between perceptual and sensorimotor tasks. bioRxiv 132829. Available at: https://doi.org/10.1101/132829.
Chambers, C., Sokhey, T., Gaebler-Spira, D. & Kording, K. (2017b) The development of Bayesian integration in sensorimotor estimation. bioRxiv 136267. Available at: https://doi.org/10.1101/136267.
Gigerenzer, G. & Gaissmaier, W. (2011) Heuristic decision making. Annual Review of Psychology 62:451–82. Available at: https://doi.org/10.1146/annurev-psych-120709-145346.
Griffiths, T. L., Chater, N., Norris, D. & Pouget, A. (2012) How the Bayesians got their beliefs (and what those beliefs actually are): Comment on Bowers and Davis (2012) Psychological Bulletin 138(3):415–22. Available at: https://doi.org/10.1037/a0026884.
Kahneman, D., Slovic, P. & Tversky, A. (1982a) Judgment under uncertainty. Science 185(4157):1124–31. Available at: https://doi.org/10.1093/oxfordhb/9780195376746.013.0038.
Kersten, D., Mamassian, P. & Yuille, A. (2004) Object perception as Bayesian inference. Annual Review of Psychology 55:271304.
Körding, K. P. & Wolpert, D. M. (2006) Bayesian decision theory in sensorimotor control. Trends in Cognitive Sciences 10(7):319–26. Available at: https://doi.org/10.1016/j.tics.2006.05.003.
Maloney, L. T. & Mamassian, P. (2009) Bayesian decision theory as a model of human visual perception: Testing Bayesian transfer. Visual Neuroscience 26(1):147–55. Available at: https://doi.org/10.1017/S0952523808080905.
Ramachandran, V. (1990) Interactions between motion, depth, color and form: The utilitarian theory of perception. In: Vision: Coding and efficiency, ed. Blakemore, C., pp. 346–60. Cambridge University Press.
Summerfield, C. & Tsetsos, K. (2015) Do humans make good decisions? Trends in Cognitive Sciences 19(1):2734. Available at: https://doi.org/10.1007/s11103-011-9767-z.
Vilares, I. & Kording, K. (2011) Bayesian models: The structure of the world, uncertainty, behaviour, and then brain. Annals of the New York Academy of Sciences 1224(1):2239. Available at: https://doi.org/10.1111/j.1749-6632.2011.05965.x.

Although optimal models are useful, optimality claims are not that common

  • Claire Chambers (a1) and Konrad Paul Kording (a1)

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