Cognition and Computation2019HT
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Course plan
No of lectures
Approximately 5-6 seminars
Recommended for
PhD students (and possibly masters students) in cognitive science and computer science (with a focus on AI or HCI). 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 before.
Goals
Prerequisites
Some background in cognitive science and/or artificial intelligence.
Organization
The course mainly consists of background reading as well as seminar discussion and presentations given by the students.
Contents
The course addresses the notion of computation in cognitive science and artificial intelligence. The view of human cognition as computation has had, and still has, a crucial role in cognitive science ever since the beginning of the field. In recent years, however, differences (and complementarities) between human and machine information processing have received much attention. The course addresses the role and nature of computation by contrasting symbolic, connectionist, situated/embodied/distributed accounts of cognition as well as recent work in neuroscience.
Literature
Classical literature (Turing, Marr, Pylyshyn) and current research articles.
Lecturers
Tom Ziemke
Examiner
Tom Ziemke
Examination
Mandatory seminar presentations and participation in discussions.
Credit
7.5 hp
Comments
Page responsible: Director of Graduate Studies