Description
Modelling cognition using artificial intelligence techniques such as reinforcement learning, vector-symbolic models, neural networks, and/or machine learning.
Prerequisites
- Prerequisite(s): third-year standing, ( CGSC 1005 or COMP 1005 ), CGSC 2001, and CGSC 3601 .
Conditions and arrangements
- 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.
Reference text in its original language
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.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/CGSC/