Thomas R. Shultz
Department of Psychology
2001 McGill College, 7th floor
Prof. Shultz is interested in cognitive science, cognitive development, decision-making, cognitive consistency, evolution and learning, and computational and mathematical modeling. Current projects include decision making, integration of Bayesian and neural network approaches to psychological development, and evolution of early hominin species.
Shultz, T. R., & Nobandegani, A. S. (2021, In press). A computational model of infant learning and reasoning with probabilities. Psychological Review. http://arxiv.org/abs/2106.16059
Montrey, M., & Shultz, T. R. (2021, In press). Copy-the-ingroup: group membership trumps perceived reliability, warmth, and competence in a social learning task. Psychological Science.
Montrey, M., & Shultz, T. R. (2020). The evolution of high-fidelity social learning. Proceedings of the Royal Society B: Biological Sciences, 287 (1928), 1-8. https://royalsocietypublishing.org/doi/10.1098/rspb.2020.0090
Nobandegani, A. S., & Shultz, T. R. (2020). A resource-rational, process-level account of the St. Petersburg Paradox. Topics in Cognitive Science, 12, 417-432. https://doi.org/10.1111/tops.12486
Helfer, P., & Shultz, T. R. (2020). A computational model of systems memory reconsolidation and extinction. Hippocampus, 30, 659-677. https://doi.org/10.1002/hipo.23187