Modelling cognition using artificial intelligence techniques such as reinforcement learning, vector-symbolic models, neural networks, and/or machine learning. Prerequisite(s): third-year standing, (CGSC 1005 or COMP 1005), CGSC 2001, and CGSC 3601. Also offered at the graduate level, with different requirements, as CGSC 5605, for which additional credit is precluded. Seminar three hours per week, tutorial one and a half hours per week.
Modelling cognition using artificial intelligence techniques such as reinforcement learning, vector-symbolic models, neural networks, and/or machine learning. Prerequisite(s): third-year standing, (CGSC 1005 or COMP 1005), CGSC 2001, and CGSC 3601. Also offered at the graduate level, with different requirements, as CGSC 5605, for which additional credit is precluded. Seminar three hours per week, tutorial one and a half hours per week.
