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Main menu for Browse IS/STAG
Course info
KFI / FUIHB
:
Course description
Department/Unit / Abbreviation
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KFI
/
FUIHB
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Philosophy of Artificial Intelligence
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Form of course completion
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Exam
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Form of course completion
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Exam
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Long Title
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Phenomenology and Hermeneutics
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Accredited / Credits
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Yes,
5
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Seminar
2
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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Czech
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Occ/max
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|
|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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8 / -
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1 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Winter + Summer
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Semester taught
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Winter + Summer
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Minimum (B + C) students
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5
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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Czech
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
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Fundamental theoretical course |
No
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Fundamental course |
Yes
|
Fundamental theoretical course |
No
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Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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None
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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The aim of the course is a philosophical reflection and interpretation of the phenomenon of artificial intelligence. This phenomenon currently permeates and resonates in all spheres of the human world - ranging from scientific-technological, through cultural-social to economic-political domains, and at the same time it is surrounded by many unrealistic ideas and controversial expectations. In this course, AI will be critically examined from the point of view of philosophy of mind, philosophy of language, logic, epistemology and ethics. In addition to the analysis of basic concepts and current definitions and paradigms of AI, traditional thought experiments and arguments for and against AI will be presented.
The course is scheduled once per two years.
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Requirements on student
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Credit: active participation in seminars, presentation, seminar paper, test.
Examination: combined exam.
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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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Activities
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Fields of study
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Studenti mají k dispozici oporu ve formě skupiny/týmu v rámci systému Microsoft Teams.
Studentům jsou dostupné všechny aktuální informace ke kurzu (termíny, materiály či odkazy na ně) na stránce předmětu v Courseware.
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Guarantors and lecturers
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Literature
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Basic:
RUSSELL, S. & NORVIG, P. Artificial Intelligence: A Modern Approach. 3rd edition.. Saddle River, NJ: Prentice Hall, 2009. ISBN 0136042597.
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Basic:
GRAU, Ch. (Ed.). Philosophers Explore The Matrix. Oxford: Oxford University Press, 2005. ISBN 0195181077.
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Basic:
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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Basic:
COPELAND, B. J. (Ed.). The Essential Turing. Oxford: Clarendon Press, 2004. ISBN 9780198250807.
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Recommended:
BOSTROM, N. Are You Living in a Computer Simulation? In Philosophical Quarterly, 2003, Vol. 53, No. 211, 243-255.. 2003.
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Recommended:
HAUGELAND, J. Mind Design: Philosophy, Psychology, Artificial Intelligence. Cambridge, MA: MIT Press, 1981.
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Recommended:
SEARLE, J. Minds, Brains and Science. Cambridge, MA: Harvard University Press, 1984.
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Recommended:
PENROSE, R. The Emperor's New Mind. Oxford: Oxford University Press, 1989.
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Recommended:
Kurzweil, Ray. The singularity is near : when humans transcend biology. New York : Viking, 2005. ISBN 0-670-03384-7.
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Recommended:
DREYFUS, H. What Computers Still Can?t Do. Cambridge, MA: MIT Press, 1992.
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Recommended:
DIAMOND, C. (Ed.). Wittgenstein's Lectures on the Foundations of Mathematics. Hassocks: Harvester Press., 1976.
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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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Contact hours
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52
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Preparation for an examination (30-60)
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50
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Undergraduate study programme term essay (20-40)
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28
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Total
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130
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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 describe examples of the use of artificial intelligence in practice
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to explain the basic definitions and laws of logic
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to paraphrase basic theories of the philosophy of mind and language
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Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
to use common information and communication technologies with understanding |
to interpret abstract philosophical texts |
to read scholarly texts in English |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
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Learning outcomes
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Knowledge - knowledge resulting from the course: |
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 - skills resulting from the course: |
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 - competences resulting from the course: |
N/A |
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: |
Combined exam |
Test |
Seminar work |
Individual presentation at a seminar |
Skills - skills achieved by taking this course are verified by the following means: |
Skills demonstration during practicum |
Individual presentation at a seminar |
Seminar work |
Competences - competence achieved by taking this course are verified by the following means: |
Combined exam |
Individual presentation at a seminar |
Skills demonstration during practicum |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture |
Textual studies |
Self-study of literature |
Seminar |
Students' portfolio |
Skills - the following training methods are used to achieve the required skills: |
Seminar classes |
Skills demonstration |
Individual study |
Students' portfolio |
Textual studies |
Competences - the following training methods are used to achieve the required competences: |
Seminar |
Students' portfolio |
Individual study |
Textual studies |
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