Computational Cognitive Science (2012-2013)
Course Overview
This course aims to introduce students to the basic concepts and
methodology needed to implement and analyse computational models of
cognition. It considers the fundamental issues of using a
computational approach to explore and model cognition. In particular,
we explore the way that computational models relate to, are tested
against, and illuminate psychological theories and data.
The course will introduce both rule-based and probabilistic modelling
methodologies, and provide practical experience with implementing
models. The rule-based part will focus on cognitive architectures,
while the probabilistic part will introduce Bayesian models.
Time and Place
- Lectures: Tuesdays and Fridays 14:10-15:00, Forrest Hill D.02.
- Tutorials: Tentative schedule is on the Assignments page.
Mailing List
Announcements regarding the course will be posted to the course
mailing list
ccs-students. All
students taking the course are automatically subscribed to this
list. You should register as soon as possible to ensure you receive
important announcements.
Previous postings can be accessed using the
ccs-students mailing list archive.
Software
We will use
Cogent for the
assignments of this course. Cogent is installed on all DICE machines;
if you do not have a DICE account, please apply for one as soon as
possible.
