After taking this course, the students will be able to
- describe, characterize and compare probabilistic and structural frameworks for representing knowledge;
- characterize and discuss the relationship between the knowledge representation frameworks and the cognitive processes involved in various aspects of human cognition, including memory, vision and language;
- evaluate and analyze computational models of human cognition.
This is an online course in which students can remotely participate by reading articles and following video-recorded lectures. The final assessment will be based on a take-home exam and two assigments, which must be completed before the end of the course.
PLEASE NOTE: THIS COURSE IS FOR LIBERAL ARTS AND SCIENCES STUDENTS IN THE MAJOR COGNITIVE NEUROSCIENCE ONLY.
We will discuss using formal models for studying human cognition. The course will consist of an overview of cognitive modeling, where we focus on the high-level objectives of studying human cognition and the most common frameworks for developing cognitive models.|
This is followed by three segments focusing on cognitive models of memory, vision and language. For each segment, we will look at the experimental findings regarding the cognitive process under study, and review the existing cognitive models that study that process.
- A number of articles and book chapters will be posted on Blackboard