On the hazards of relating representations and inductive biases

Thomas L. Griffiths, Sreejan Kumar, R. Thomas McCoy

Research output: Contribution to journalReview articlepeer-review


The success of models of human behavior based on Bayesian inference over logical formulas or programs is taken as evidence that people employ a language-of-thought that has similarly discrete and compositional structure. We argue that this conclusion problematically crosses levels of analysis, identifying representations at the algorithmic level based on inductive biases at the computational level.

Original languageEnglish (US)
Article numbere275
JournalBehavioral and Brain Sciences
StatePublished - Sep 28 2023

All Science Journal Classification (ASJC) codes

  • Neuropsychology and Physiological Psychology
  • Physiology
  • Behavioral Neuroscience


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