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Vyučující
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Pozdílek Martin, Ing. Ph.D.
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Obsah předmětu
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1. Introduction (Introduction to AI, basic terms, AI segmentation). 2. Graph theory basics, planning. 3. Transition system, problem formulation, uninformed state-space search (depth first search, breadth first Search). 4. Uninformed state-space search (limited depth first search, iterative depth first search, lowest cost first Search). 5. Informed state-space search, heuristic function. 6. Games theory, minimax algorithms, minimax algorithm with alfa-beta prunning, heuristic minimax. 7. Fuzzy sets, basic operations. 8. Fuzzy relations and operations with fuzzy relations, fuzzy numbers. 9. Linguistic variable, fuzzy logic. 10. Fuzzy logic systems. 11. Knowledge, knowledge representations, expert systems 12. Expert systems. 13. Repetition.
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Studijní aktivity a metody výuky
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Monologická (výklad, přednáška, instruktáž), Metody samostatných akcí
- Projekt individuální
- 45 hodin za semestr
- Kontaktní výuka
- 65 hodin za semestr
- Domácí příprava na výuku
- 26 hodin za semestr
- Příprava na zkoušku
- 14 hodin za semestr
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Výstupy z učení
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The main aim of the course is to familiarize students with the basics and the structure of the artificial intelligence scientific discipline. In additition, students will be provided with knowledge in problem solving, games theory, planning, fuzzy logic and expert systems.
Basic orientation in the artificial inteligence problems. Ability to use optimization methods, problém solving techniques, fuzzy systems building and orientation in expert system problems.
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Předpoklady
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There is expected fundamental knowledge of programming and graph theory.
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Hodnoticí metody a kritéria
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Ústní zkouška, Posouzení zadané práce
Solving of the final complex project comprising of different tasks from individual parts of the subject.
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Doporučená literatura
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NEGNEVITSKY M. Artificial Intelligence : A Guide to Intelligent Systems (2nd Edition).. Addison Wesley, 2004. ISBN 0321204662.
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Russell, Stuart J. Artificial intelligence : a modern approach. Harlow: Pearson Education, 2014. ISBN 978-1-292-02420-2.
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ŠKRABÁNEK, P. Základy umělé inteligence (elektronické učební texty. 2010.
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