Course - Cognitive Architectures - TDT4137
Cognitive Architectures
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About the course
Course content
Cognitive architectures aim at giving increased understanding of intelligent systems and how they interact with the external world. The subject covers underlying infrastructures and how various subsystems work together for coherent cognition. Key elements include short-term memory, long-term memory, representation of mental structures, functional processes and learning mechanisms. In this context, the subject also treats evaluation of user interfaces in terms of cognitive complexity analysis, and also looks at advanced multimodal user interaction.
Learning outcome
Knowledge: The subject will give the candidate a general introduction to concepts, methods and techniques within cognitive architectures.
Skills: The candidate will be able to apply actual methods and techniques.
General competence: Through practical and theoretical exercises the student shall understand and apply cognitive architectures, and have an integrated view of intelligent systems. The candidate shall know the field historically and its foundation based on artificial intelligence, cognitive science and human-computer interaction.
Learning methods and activities
Lectures, colloquia, self-study, and exercises.
A number of mandatory exercises must be approved in order to take the exam.
Compulsory assignments
- Exercises
Further on evaluation
If there is a re-sit examination, the examination form may be changed from written to oral.
The exam will be in English only, but the students may answer in Norwegian if preferred.
Recommended previous knowledge
TDT4136 Intro to AI and the 1st part of the new TDT4172 Intro to Machine Learning course.
Course materials
To be announced
Subject areas
- Computer and Information Science
- Information Technology and Informatics
Contact information
Course coordinator
Department with academic responsibility
Examination
Examination
Ordinary examination - Autumn 2024
School exam
The specified room can be changed and the final location will be ready no later than 3 days before the exam. You can find your room location on Studentweb.