Author:
Franco Juan Pablo,Doroc Karlo,Yadav Nitin,Bossaerts Peter,Murawski Carsten
Abstract
AbstractThe survival of human organisms depends on our ability to solve complex tasks in the face of limited cognitive resources. However, little is known about the factors that drive the complexity of those tasks. Here, building on insights from computational complexity theory, we quantify the computational hardness of cognitive tasks using a set of task-independent metrics related to the computational resource requirements of individual instances of a task. We then examine the relation between those metrics and human behavior and find that they predict both time spent on a task as well as accuracy in three canonical cognitive tasks. Our findings demonstrate that performance in cognitive tasks can be predicted based on generic metrics of their inherent computational hardness.
Publisher
Springer Science and Business Media LLC
Reference43 articles.
1. van Rooij, I. The tractable cognition thesis. Cogn. Sci. Multidiscip. J. 32, 939–984. https://doi.org/10.1080/03640210801897856 (2008).
2. Frixione, M. Tractable competence. Minds Mach. 11, 379–397. https://doi.org/10.1023/A:1017503201702 (2001).
3. Simon, H. A. A behavioral model of rational choice. Q. J. Econ. 69, 99–118. https://doi.org/10.2307/1884852 (1955).
4. van Rooij, I., Blokpoel, M., Kwisthout, J. & Wareham, T. Cognition and Intractability (Cambridge University Press, 2019).
5. Bossaerts, P. & Murawski, C. Computational complexity and human decision-making. Trends Cogn. Sci. 21, 917–929. https://doi.org/10.1016/j.tics.2017.09.005 (2017).
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