Computational Cognitive Modeling
The human mind is most intimately familiar to us, yet we understand very little about how it functions. To study the mind, the field of cognitive science pursues an interdisciplinary approach. One of the pilars of cognitive science is computational modeling. This seminar will survey models of perception, memory and action. Rather than focusing on the mathematical details, we will discuss the motivation, application and noteworthy properties of the models, including their strengths and shortcomings. Class work will include student presentations and discussions.
Contact: Prof. Dr. Sen Cheng, NB 3/33, sen.cheng@rub.de
Office hours: Thursdays 14.00-15.00
Enrollment: VSPL
Assessment: presentation in class
Course material: Blackboard (sign-up required)
Lecturers
Prof. Dr. Sen ChengLecturer |
(+49) 234-32-29486 sen.cheng@rub.de NB 3/33 |
Details
- Course type
- Seminars
- Credits
- 3 CP
- Term
- Winter Term 2017/2018
Dates
- Seminar
-
Takes place
every week on Monday from 14:00 to 16:00 in room NB 3/57.
First appointment is on 09.10.2017
Last appointment is on 29.01.2018
Requirements
Basic knowledge of cognition, e.g. “Cognition I + II”, “Learning”
Literature: “The Cambridge Handbook of Computational Psychology” edited by Ron Sun, Cambridge University Press + modeling papers announced in class
The Institut für Neuroinformatik (INI) is a central research unit of the Ruhr-Universität Bochum. We aim to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory systems and while acting in those environments through effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental approaches from psychology and neurophysiology as well as theoretical approaches from physics, mathematics, electrical engineering and applied computer science, in particular machine learning, artificial intelligence, and computer vision.
Universitätsstr. 150, Building NB, Room 3/32
D-44801 Bochum, Germany
Tel: (+49) 234 32-28967
Fax: (+49) 234 32-14210