Thomas Shultz (PhD Yale, Psychology) is Professor of Psychology and Associate Member of the School of Computer Science at McGill University. He teaches courses in Computational Psychology and Cognitive Science. He is a Fellow of the Canadian Psychological Association, and a founder and former Coordinator of McGill Cognitive Science. Research interests include connectionism, cognitive science, cognitive development, evolution and learning, and relations between knowledge and learning. He has over 390 research publications in these areas.
- Our paper providing a novel resolution of Rogers' paradox about the inability of social learning to enhance population fitness appears in the February 2017 issue of Journal of Theoretical Biology.
- Our paper on a neural implementation of Bayesian inference and learning appears in Cognitive Systems Research December 2016.
- Our paper reviewing the constructive neural-network approach to modeling psychological development was recently cited as an Editor's Choice publication in Cognitive Development.