Abstract
Robust modeling in cognitive science is a laudable goal. Unfortunately, we will never know if we are achieving it if we continue to be vague about what it means to be robust. In this commentary, I point to a previously published domain-agnostic definition of robustness, describe mechanisms for robustness derived from a multi-disciplinary literature review, and call for quantitative measures of robustness and of the functions our models and modeling practices are intended to achieve.
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Gluck, K.A. What Does It Mean for Psychological Modeling to Be More Robust?. Comput Brain Behav 2, 154–156 (2019). https://doi.org/10.1007/s42113-019-00065-8
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DOI: https://doi.org/10.1007/s42113-019-00065-8