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Lecturer(s)
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Schuster Radek, Mgr. Ph.D.
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Dach Stefanie, Mgr. Ph.D.
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Course content
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1) Natural and artificial: homunculi, thinking machines and real/unreal reality 2) AI as a paradigm: terminology and definitions, history and present 3) AI as a formal system: Turing machines and halting problem 4) AI as a formal system: Gödel's theorem and Lucas-Penrose argument 5) AI as a technology: algorithms and neural networks 6) AI as a technology: (deep) machine learning 7) AI as a language game: Turing test 8) AI as a language game: Searle's Chinese room 9) AI as a simulation of thinking: Leibniz's mill and computation of mind 10) AI as a simulation of thinking: (self) conscious, moral and emotional machines 11) AI as a simulation of reality: Descartes's evil demon and Putnam's brain in a vat 12) AI as a simulation of reality: Bostrom's simulation argument 13) AI as a futuristic vision: Kurzweil's singularity, salvation or threat
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Learning activities and teaching methods
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Seminar classes, Lecture
- Contact hours
- 52 hours per semester
- Undergraduate study programme term essay (20-40)
- 28 hours per semester
- Preparation for an examination (30-60)
- 50 hours per semester
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| prerequisite |
|---|
| Knowledge |
|---|
| to describe examples of the use of artificial intelligence in practice |
| to explain the basic definitions and laws of logic |
| to paraphrase basic theories of the philosophy of mind and language |
| Skills |
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| to use common information and communication technologies with understanding |
| to interpret abstract philosophical texts |
| to read scholarly texts in English |
| Competences |
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| N/A |
| N/A |
| N/A |
| learning outcomes |
|---|
| Knowledge |
|---|
| to characterize the basic paradigms and definitions of AI |
| to describe traditional and current philosophical arguments in the AI debate |
| to explain key thought experiments on AI |
| Skills |
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| to evaluate critically technological possibilities of AI and lay ideas about it |
| to perform logical-semantic analysis of the concept of AI in various discourses |
| to link the phenomenon of AI to modern philosophical thought |
| Competences |
|---|
| N/A |
| N/A |
| N/A |
| teaching methods |
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| Knowledge |
|---|
| Lecture |
| Textual studies |
| Self-study of literature |
| Seminar |
| Students' portfolio |
| Skills |
|---|
| Seminar classes |
| Skills demonstration |
| Individual study |
| Students' portfolio |
| Textual studies |
| Competences |
|---|
| Seminar |
| Students' portfolio |
| Individual study |
| Textual studies |
| assessment methods |
|---|
| Knowledge |
|---|
| Combined exam |
| Test |
| Seminar work |
| Individual presentation at a seminar |
| Skills |
|---|
| Skills demonstration during practicum |
| Individual presentation at a seminar |
| Seminar work |
| Competences |
|---|
| Combined exam |
| Individual presentation at a seminar |
| Skills demonstration during practicum |
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Recommended literature
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BOSTROM, N. Are You Living in a Computer Simulation? In Philosophical Quarterly, 2003, Vol. 53, No. 211, 243-255.. 2003.
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Bostrom, Nick. Superinteligence : až budou stroje chytřejší než lidé. V českém jazyce vydání první. 2017. ISBN 978-80-7260-353-4.
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COPELAND, B. J. (Ed.). The Essential Turing. Oxford: Clarendon Press, 2004. ISBN 9780198250807.
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DIAMOND, C. (Ed.). Wittgenstein's Lectures on the Foundations of Mathematics. Hassocks: Harvester Press., 1976.
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DREYFUS, H. What Computers Still Can?t Do. Cambridge, MA: MIT Press, 1992.
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GRAU, Ch. (Ed.). Philosophers Explore The Matrix. Oxford: Oxford University Press, 2005. ISBN 0195181077.
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HAUGELAND, J. Mind Design: Philosophy, Psychology, Artificial Intelligence. Cambridge, MA: MIT Press, 1981.
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Kurzweil, Ray. The singularity is near : when humans transcend biology. New York : Viking, 2005. ISBN 0-670-03384-7.
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PENROSE, R. The Emperor's New Mind. Oxford: Oxford University Press, 1989.
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RUSSELL, S. & NORVIG, P. Artificial Intelligence: A Modern Approach. 3rd edition.. Saddle River, NJ: Prentice Hall, 2009. ISBN 0136042597.
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SEARLE, J. Minds, Brains and Science. Cambridge, MA: Harvard University Press, 1984.
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