Course title:
Cognitive Modeling

Module length
1 term

Frequency of module
Annually in the summer term

Exam & Grading
Written exam, graded; length: 90 min

Objective
Cognitive models covering learning, action and perception are presented and discussed, including descriptive, qualitative, quantitative and neural models. In addition, parameter optimization as well as techniques to compare models and to interpret and evaluate model parameters are introduced. All techniques are shown in the context of concrete models of cognitive processes.

Learning targets
Students know the most important principles and techniques of cognitive modeling. They can apply various cognitive models and modeling approaches in a goal-directed manner. Moreover, they can evaluate, compare, and contrast different modeling approaches as well as modeling results. In particular, they can use also statistical methods to quantitatively compare different cognitive models.

Allowable for
Pflichtmodul Master Kognitionswissenschaft

Prerequisites  Basic knowledge in statistics, machine learning, cognitive architectures, and neuroscience is required.

Course Co-ordinator  Prof. Dr. Martin Butz, Prof. Felix Wichmann, DPhil

Suggested reading  Literature will be announced at the beginning of the lecture course.