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By Gershman, S. | RPM
| Ying, L., Collins, K. M., Sharma, P., Colas, C., Zhao, K. I., Weller, A., Tavares, Z., Isola, P., Gershman, S. J., Andreas, J. D., Griffiths, T. L., Chollet, F., Allen, K. R., & Tenenbaum, J. B. (2025). Assessing adaptive world models in machines with novel games. (preprint)
| CEIL
F
| Allen, K., Brändle, F., Botvinick, M., Fan, J. E., Gershman, S. J., Gopnik, A., Griffiths, T. L., Hartshorne, J. K., Hauser, T. U., Ho, M., de Leeuw, J. R., Ma, W. J., Murayama, K., Nelson, J. D., van Opheusden, B., Pouncy, T., Rafner, J., Rahwan, I., Rutledge, R. B., Sherson, J., Şimşek, Ö., Spiers, H., Summerfield, C., Thalmann, M., Vélez, N., Watrous, A. J., Tenenbaum, J. B., & Schulz, E. (2024). Using games to understand the mind. Nature Human Behaviour, 8, 1035–1043. (pdf)
| PR
| Lu, Q., Nguyen, T. T., Hasson, U., Griffiths, T. L., Zacks, J. M., Gershman, S. J., & Norman, K. A. (2023). Toward a more neurally plausible neural network model of latent cause inference. Computational Cognitive Neuroscience Conference 2023. (pdf)
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