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Published education catalogue

Cognitive Science: Neuro Modelling, Cognitive Robotics and Agents

Education information from the published source. The education record and its time-bound offerings are kept separate.

Education facts

Code: KOGP05

<p>The course is open to students enrolled in the HAKOG master program. By using computer models, embodied robots in a natural environment, or virtual agents in a digital environment, we can investigate cognitive phenomena such as attention, learning, etc. Within cognitive science we use models of various kinds in order to understand the processes that give rise to cognition. These models attempt to describe the brain or a cognitive phenomenon in a precise manner, e.g. in form of equations or computer programs. The models can be either descriptive or predictive. Descriptive models summarize the data in a uniform shape to provide a better understanding. Predictive models can be used to generate data that can be tested, e.g., in an experiment. The goal of making models may be to explore the cognitive processes or to generate new hypotheses. The goal can be to find biologically inspired approaches to solve technical problems. For example: develop artificial neural networks both to model the brain, and as a technical method. The course is very project-oriented and your are encouraged to develop your own specific prototype systems based on different cognitive models Based on your project, the emphasis may vary - but all include: i) technological development, ii) a broadened knowledge of cognitive science, and iii) a broadnened knowledge of information design. The course is only open to students enrolled in the Masterprogram HAKOG.</p>

Entry requirements

Successfully completed KOGM01 Cognitive Science: Introductory Course, 15 ECTS, or the equivalent

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

Source and updates

Skolverket Susa-navet

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Publication version: 8e217193-f5fa-4778-b085-a4521fd03e8d

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Last changed according to the source: 2026-09-09T14:16:04