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Task-independent metrics of computational hardness predict human cognitive performance.

Published version
Peer-reviewed

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Authors

Franco, Juan Pablo 
Doroc, Karlo 
Yadav, Nitin 
Bossaerts, Peter 
Murawski, Carsten 

Abstract

The 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.

Description

Funder: University of Melbourne; doi: http://dx.doi.org/10.13039/501100001782

Keywords

Benchmarking, Cognition, Hardness, Humans, Task Performance and Analysis

Journal Title

Sci Rep

Conference Name

Journal ISSN

2045-2322
2045-2322

Volume Title

Publisher

Springer Science and Business Media LLC