This work charts this field around four challenges: representing experiments, generating synthetic behavior, synthesizing models, and closing the loop to discover psychological theories.
A. Jagadish, Milena Rmuš, Kristin Witte et al.· 5 citations
CogGym is introduced, a scalable, unified framework grounded in cognitive science for systematically comparing model and human behavior on matched experimental trials, and intends for CogGym to provide a living evaluation framework that continually incorporates new cognitive science experiments to characterize where mo...
Lance Ying, Jin-Zhou Wu, Y. Wang et al.· 0 citations
BBT outperforms traditional approaches at predicting human behavior while also revealing psychological insights, resulting in models that can both mimic Bayesian priors and capture heuristics and biases that violate simple modeling assumptions.
Brenden M. Lake, A. Jagadish, Guang-Yuan Jiang· 0 citations
The Automated Cognitive Scientist, a closed-loop discovery system in which LLM agents design theory-discriminating experiments, collect responses, arbitrate between competing theories, and synthesize successors, entirely on behavior simulated by Centaur, a foundation model of human behavior, succeeds despite the simula...
A. K. Jagadish, Younes Strittmatter, Nori Jacoby et al.· 0 citations
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