Lecturer(s)
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Schuster Radek, Mgr. Ph.D.
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Havlík Vladimír, Doc. PhDr. CSc.
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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
- Graduate study programme term essay (40-50)
- 40 hours per semester
- Contact hours
- 52 hours per semester
- Presentation preparation (report) (1-10)
- 10 hours per semester
- Preparation for an examination (30-60)
- 44 hours per semester
- Preparation for comprehensive test (10-40)
- 10 hours per semester
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prerequisite |
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Knowledge |
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to describe main definitions, paradigms and practical uses of AI |
to paraphrase key thought experiments related to AI |
to explain the main theories of mind and language from the perspective of both analytic and continental philosophy |
Skills |
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to interpret abstract philosophical texts written in English |
to link the phenomenon of AI to modern philosophical thought |
to evaluate critically the current technological limits of AI and lay ideas about it |
Competences |
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N/A |
N/A |
N/A |
learning outcomes |
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Knowledge |
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to explain the definitions, principles and applications of UI from the perspective of the philosophy of mind and language |
to describe philosophical, ethical and religious aspects of the vision of general AI |
to understand the philosophical theories of mind and language in the context of the current development of AI |
Skills |
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to make a logical-semantic analysis of AI definitions and paradigms in various discourses |
to evaluate critically the development of specialized and general AI from the point of view of philosophy, logic and ethics |
to mediate a discussion on AI on the boundary of cybernetics and humanities and social sciences |
Competences |
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N/A |
N/A |
N/A |
teaching methods |
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Knowledge |
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Lecture |
Textual studies |
Self-study of literature |
Seminar |
Students' portfolio |
Skills |
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Seminar classes |
Skills demonstration |
Individual study |
Students' portfolio |
Textual studies |
Competences |
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Seminar |
Students' portfolio |
Individual study |
Textual studies |
assessment methods |
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Knowledge |
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Combined exam |
Test |
Seminar work |
Individual presentation at a seminar |
Skills |
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Skills demonstration during practicum |
Individual presentation at a seminar |
Seminar work |
Competences |
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Combined exam |
Individual presentation at a seminar |
Skills demonstration during practicum |
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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Ekbia, H. R. Artificial dreams : the quest for non-biological intelligence. Cambridge : Cambridge University Press, 2008. ISBN 978-0-521-70339-0.
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Ekbia, H. R.; Nardi, Bonnie A. Heteromation, and other stories of computing and capitalism. 2017. ISBN 978-0-262-03625-2.
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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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Hofstadter, Douglas R. Gödel, Escher, Bach : an eternal golden braid. 20th-anniversary ed. London : Penguin Books, 2000. ISBN 0-14-028920-8.
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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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