g-distance: On the comparison of model and human heterogeneity

Abstract excerpt

<p>Models are often evaluated when their behavior is at its closest to a single, sometimes averaged, set of empirical results, but this evaluation neglects the fact that both model and human behavior can be heterogeneous. Here, we develop a measure, g-distance, which considers model adequacy as the extent to which models exhibit a similar range of behaviors to the humans they model. We define g as the combination...

Topics

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• Adaptation, Biological
• Biological Evolution
• Cocaine
• Genetics, Population
• History, 19th Century
• History, 20th Century
• Learning
• Phenotype

Identifiers and source

Literature Corpus work

0fd7b906-4745-5b5a-b66d-52b3a6fafafc

DOI

10.31234/osf.io/ygmcj_v2