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The course provides basic overview of artificial intelligence covering number of different areas from problem solving by searching in state space to fuzzy logic. In the practical part of the course the emphasis is mainly on logical programming in Prolog and the design of simple fuzzy logic systems in Matlab.
Last update: Hrnčiřík Pavel (11.08.2013)
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Students will be able to: Know the basics of artificial intelligence. Write simple programs in Prolog. Decide whether a given technical problem can be solved using fuzzy logic control. Design a simple fuzzy logic controller for this problem. Last update: Hrnčiřík Pavel (11.08.2013)
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R: Russell S.,Norvig P.,Artificial Intelligence: A Modern Approach,Prentice Hall, Englewood Cliffs,2002,0137903952 R: Ross J.T., Fuzzy Logic with Engineering Applications, Wiley-Blackwell, 2010, ISBN 978-0470743768 R: Buckley J.J., Eslami E., An Introduction to Fuzzy Logic and Fuzzy Sets (Advances in Intelligent and Soft Computing), Physica, 2008, ISBN 978-3790814477 A: Zadeh L.A., Fuzzy Sets*, Information and Control 8, 338-353 (1965), http://www-bisc.cs.berkeley.edu/Zadeh-1965.pdf
Last update: Hrnčiřík Pavel (11.08.2013)
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Během semestru jsou zadávány 2 samostatné projekty, z kterých je pro získání zápočtu nutné získat alespoň 50 % z max. možného bodového ohodnocení. Vlastní zkouška má písemnou formu. Last update: Hrnčiřík Pavel (12.09.2011)
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1. Artificial Intelligence - definition, clasification, basic concepts 2. Problem solving - uninformed strategies 3. Problem solving - informed strategies, heuristic search 4. Two person games: min-max method, alpha-beta pruning 5. Knowledge representation - production systems 6. Knowledge representation - semantic networks, frames 7. Knowledge representation - first-order logic 8. Fuzzy systems, fuzzy sets 9. Fuzzy relation, model of semantic 10. Linguistic operators 11. Inference rules 12. Fuzzy controller 13. Prolog 14. Prolog Last update: Hrnčiřík Pavel (24.09.2009)
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Other study aids: Artificial Intelligence: A Modern Approach http://aima.cs.berkeley.edu/ Edward Sazonov: Fuzzy Logic and Applications, course EE509, Clarkson University, Potsdam, NY. http://www.intelligent-systems.info/classes/ee509/ SWI-Prolog's home http://www.swi-prolog.org/ Interactive MATLAB & Simulink Based Tutorials, http://www.mathworks.com/academia/student_center/tutorials/index.html?s_tid=acmain_lrn_tut
Last update: Hrnčiřík Pavel (11.08.2013)
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Matematika I, Algoritmizace a programování Last update: Hrnčiřík Pavel (11.08.2013)
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| Teaching methods | ||||
| Activity | Credits | Hours | ||
| Účast na přednáškách | 1 | 28 | ||
| Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 1 | 28 | ||
| Práce na individuálním projektu | 1 | 28 | ||
| Příprava na zkoušku a její absolvování | 1 | 28 | ||
| Účast na seminářích | 1 | 28 | ||
| 5 / 5 | 140 / 140 | |||
| Coursework assessment | |
| Form | Significance |
| Regular attendance | 20 |
| Report from individual projects | 30 |
| Examination test | 50 |