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Emotion in natural and artificial intelligence2020VT
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Course plan
No of lectures
Approximately 10 lectures/seminars (exact number depends on number of participants)
Recommended for
The course is mainly intended for PhD students in cognitive science, design and computer science (with an interest AI or HCI). The course could also be relevant 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 at LiU before, but is to some degree based on a previous SweCog PhD course on emotion given at the University of Skövde.
Goals
The main goal is to familiarize students with different theories and models of emotion, affect, and related mechanisms in both human cognition and artificial intelligence. The course also addresses the relevance to human interaction with different types of technology, in areas such as social robotics and affective computing.
Prerequisites
Some background in cognitive science (or overlapping disciplines, such as psychology, neuroscience, philosophy), human-computer interaction, and/or artificial intelligence.
Organization
The course mainly consists of student presentations and seminars discussing classical literature and recent research articles.
Contents
See "Goals" above.
Literature
Classical literature (James, Ekman, Frijda, Damasio, etc) and recent research articles.
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory student presentations, active participation in seminar discussions, and coursework.
Credit
7.5 hp
Comments
Page responsible: Director of Graduate Studies
