Skip to main content Accessibility help

Model comparison, not model falsification

  • Bradley C. Love (a1)


Systematically comparing models that vary across components can be more informative and explanatory than determining whether behaviour is optimal, however defined. The process of model comparison has a number of benefits, including the possibility of integrating seemingly disparate empirical findings, understanding individual and group differences, and drawing theoretical connections between model proposals.



Hide All
Jones, M. & Love, B. C. (2011) Bayesian fundamentalism or enlightenment? On the explanatory status and theoretical contributions of Bayesian models of cognition. Behavioral and Brain Sciences 34(4):169–88. Available at:
Love, B. C., Medin, D. L. & Gureckis, T. M. (2004) SUSTAIN: A network model of category learning. Psychological Review 111:309–32.
Mack, M. L., Preston, A. R. & Love, B. C. (2013) Decoding the brain's algorithm for categorization from its neural implementation. Current Biology 23:2023–27.

Related content

Powered by UNSILO

Model comparison, not model falsification

  • Bradley C. Love (a1)


Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Abstract views

Total abstract views: 0 *
Loading metrics...

* Views captured on Cambridge Core between <date>. This data will be updated every 24 hours.

Usage data cannot currently be displayed.