PhD Defense: A Neurocomputational Model of Causal Reasoning and Compositional Working Memory for Imitation Learning
Gregory Davis
Abstract
|
|
Bio
Gregory Davis is a computer science PhD candidate at the University of Maryland. His research interests lie at the intersection of artificial intelligence and the neural and cognitive sciences, and he aims to develop biologically-inspired neurocomputational models that capture key aspects of human-level cognition such as compositional representation and hypothetico-deductive causal reasoning.
This talk is organized by Tom Hurst