A foundation model to predict and capture human cognition

. A first step towards such a theory is to create a computational model that can predict human behaviour in a wide range of settings. Here we introduce Centaur, a computational model that can predict and simulate human behaviour in any experiment expressible in natural language. We derived Centaur by fine-tuning a state-of-the-art language model on a large-scale dataset called Psych-101. Psych-101 has an unprecedented scale, covering trial-by-trial data from more than 60,000 participants performing in excess of 10,000,000 choices in 160 experiments. Centaur not only captures the behaviour of held-out participants better than existing cognitive models, but it also generalizes to previously unseen cover stories,…

• D
  DeepMind
• VF
  Volkswagen Foundation
• M
  Max-Planck-Gesellschaft
• NS
  NOMIS Stiftung
• HZ
  Helmholtz Zentrum München