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CI Causal Induction
CD Cognitive Development
CEIL Cultural Evolution and Iterated Learning
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E Education
F Foundations
IB Inductive Biases
NBM Nonparametric Bayesian Models
P Perception
PR Probabilistic Reasoning
RPM Rational Process Models
S&C Similarity and Categorization
SC Social Cognition
SML Statistical Models of Language
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By Jagadish, A. | SML
| Jagadish, A. K., Strittmatter, Y., Jacoby, N., Kachergis, G., Schulz, E., Daw, N., Chandramouli, S. H., & Griffiths, T. L. (2026). Closing the loop to discover psychological theories with an automated cognitive scientist. (preprint)
| S&C
SML
| Lima Braga, D., Marjieh, R., Jagadish, A. K., Sucholutsky, I., Jacoby, N., Lake, B., & Griffiths, T. L. (2026). Automated discovery of psychological representations using language model agents. Proceedings of the Annual Meeting of the Cognitive Science Society, 48. (pdf)
| SML
| Strittmatter, Y., Griffiths, T. L., & Jagadish, A. K. (2026). Pipeline for systematic curation of human experiments. Proceedings of the Annual Meeting of the Cognitive Science Society, 48. (pdf)
| PR
SML
| Zhang, L., Jagadish, A. K., Lake, B. M., & Griffiths, T. L. (2026). Using probabilistic programs to train inductive reasoning in large language models. (preprint)
| F
SML
| Binz, M., Akata, E., Bethge, M., Brändle, F., Callaway, F., Coda-Forno, J., Dayan, P., Demircan, C., Eckstein, M. K., Éltető, N., Griffiths, T. L., Haridi, S., Jagadish, A. K., Ji-An, L., Kipnis, A., Kumar, S., Ludwig, T., Mathony, M., Mattar, M., Modirshanechi, A., Nath, S. S., Peterson, J. C., Rmus, M., Russek, E. M., Saanum, T., Scharfenberg, N., Schubert, J. A., Schulze Buschoff, L. M., Singhi, N., Sui, X., Thalmann, M., Theis, F., Truong, V., Udandarao, V., Voudouris, K., Wilson, R., Witte, K., Wu, S., Wulff, D., Xiong, H., & Schulz, E. (2025). A foundation model to predict and capture human cognition. Nature. (pdf)
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