Artificial Cognitive Systems2016HT
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Course plan
No of lectures
Approximately 10 lectures/seminars.
Recommended for
PhD students (and possibly masters students) in cognitive science and computer science. The course could also be interesting for PhD students in psychology, neuroscience, philosophy or other areas overlapping with the cognitive sciences.
The course was last given
The course has not been given in Linköping before, but has been given in similar form by my colleague David Vernon in Skövde, Munich and Genova.
Goals
Prerequisites
Some background in the cognitive sciences or artificial intelligence.
Organization
Contents
The nature of cognition. Paradigms of cognitive science. Cognitive architectures. Autonomy. Embodiment. Development and learning. Memory and prospection. Knowledge and representation. Social cognition and interaction. Distributed cognitive systems.
Literature
D Vernon (2014). Artificial Cognitive Systems: A Primer. MIT Press.
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory seminar participation, presentations and coursework.
Credit
7.5 hp
Comments
Course content can be adapted to some degree to the composition/backgrounds of the students taking it.
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