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 220 research publications in these areas. He is a Member of the IEEE Neural Networks Society Autonomous Mental Development Technical Committee and Chair of the AMD Task Force on Developmental Psychology.
- Our paper on a neural implementation of Bayesian inference and learning appears in Cognitive Systems Research 2016.
- Our paper on decision making with different kinds of nutrition labels appears in the December issue of Annals of the New York Academy of Sciences.
- Our paper reviewing the constructive neural-network approach to modeling psychological development was recently cited as an Editor's Choice publication in Cognitive Development.