2016-2017 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.

Credits

4

Prerequisite

COGS 101 as prereq or coreq OR prereq of PHIL 225 MATH 186 MATH 210 MATH 214 MATH 252 or COMP 157 COMP 161 COMP 165 or COMP 211 OR permission of instructor

Core Requirements Met

  • Laboratory Science