Course objectives:
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The aim of the course is to introduce students various problems of artificial intelligence, with special focus on philosophical aspects on artificial intelligence and its relations with cognitive science and philosophy of mind.
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Requirements on student
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Credit - active work at seminars; written test in case of insufficient active attendance
Examination - written and oral.
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Content
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historical context of artificial intelligence (AI); artificial versus natural; philosophical and application-motivated goals of AI; symbolic paradigm of AI; emergentistic paradigm of AI; enaction principle; AI and impreciseness; interdisciplinary aspects of AI; criticism and risks of AI; future of AI
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Activities
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Fields of study
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Studentům je po začátku příslušného semestru k dispozici kurz v Google Classroom se všemi podstatnými studijními podklady.
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Guarantors and lecturers
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Literature
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Basic:
Mařík, Vladimír a kol. Umělá inteligence (3). Academia, Praha, 2001.
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Basic:
Mařík, Vladimír a kol. Umělá inteligence 5. Praha, 2007.
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Extending:
Weizenbaum, J. Mýtus počítače. Praha, 2002.
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Recommended:
Markoš, A., Kelemen, J. Berušky, andělé a stroje. Praha, 2004.
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Recommended:
Moravec, Hans. Mind children : the future of robot and human intelligence. Cambridge : Harvard University Press, 1988. ISBN 0-674-57618-7.
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Recommended:
Pickering, Andrew. The cybernetic brain: sketches of another future. Chicago : University of Chicago Press, 2010. ISBN 978-0-226-66789-8.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Undergraduate study programme term essay (20-40)
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22
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Preparation for an examination (30-60)
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30
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Contact hours
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52
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Total
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104
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
to have intermediate knowledge from the field of general philosophy |
to have basic knowledge from the field of philosophy of science. |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to think logically |
to follow exactly (blindly) instructions |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
to debate historical context of AI |
to formulate philosophical and application-motivated goals of AI |
to compare and to contrast symbolic and emergentistic paradigms of AI |
to interpret principles of contemporary AI |
to support as well as to criticise AI |
to debate future perspectives of AI |
Skills - skills resulting from the course: |
to solve some tasks od AI |
Competences - competences resulting from the course: |
N/A |
N/A |
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Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Combined exam |
Seminar work |
Skills - skills achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Combined exam |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Oral exam |
Written exam |
Combined exam |
Seminar work |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Lecture with visual aids |
Seminar |
Self-study of literature |
Skills - the following training methods are used to achieve the required skills: |
Practicum |
Individual study |
Lecture |
Lecture with visual aids |
Competences - the following training methods are used to achieve the required competences: |
Lecture |
Lecture with visual aids |
Lecture supplemented with a discussion |
Interactive lecture |
Practicum |
Individual study |
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