2019-2020 Catalog

COGS 242 Computational Approaches to Cognition

Computational modeling provides important insights into how the mind/brain may work. We will examine three different approaches that have been used to provide insights into cognition: symbolic methods, connectionism, and probabilistic methods. We will use computer software to explore how these approaches work in practice. Specific applications, such as perception, language, and memory will be covered. The assumptions and limitations of each approach, as well as the metaphor of mind/brain as a computer, will be critically considered. This course has a mandatory laboratory component which will include both experimentation and computer programming. No previous programming background is required.


4 units


COGS 101, PHIL 225, MATH 186, MATH 210, MATH 214, MATH 252, COMP 157, COMP 161, COMP 165, or COMP 211; or permission of instructor


COGS 101 (can be taken concurrently)

Core Requirements Met

  • Laboratory Science