Cognitive Modelling (Summer semester 2024)

Lecturer: Prof. Dr. Dr. Marco Ragni

Assistant: --

Contents: The course teaches knowledge about the function of cognitive processes from the areas of memory, cognition, thinking and decision-making, and language and their implementation in cognitive architectures such as ACT-R or other modeling paradigms. Methods for replication of experimental data and the quality of cognitive modeling approaches are discussed

Qualification goals: Students will have a critical understanding of basic cognitive theories and how they can be implemented. They can analyze cognitive tasks, model them using statistical, informatics, and psychological methods and to question and further develop existing concepts

Requirements: A basic knowledge in statistics is recommended

Target groups: Master Human Factors, Master Sensors and Cognitive Psychology

OPAL: (will be updated)

Lecture

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Exercise

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