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Methods of Artificial Intelligence

Type of study Follow-up Master
Language of instruction Czech
Code 654-3010/01
Abbreviation MUI
Course title Methods of Artificial Intelligence
Credits 6
Coordinating department Department of Industrial Systems Management
Course coordinator Ing. Ondřej Grycz, Ph.D.

Subject syllabus

1. Control as a informative incidence, activity and process.
2. Determination theory modelling and artificial intelligence.
3. Qualitative models.
4. Semiqualitative models.
5. Fuzzy model, introduction to fuzzy models.
6. Fuzzy multiple theory.
7. More value logic and language model.
8. Fuzzy systems
9.Strategy fuzzification, strategy defuzzification.
10. Expert systems, definition and architecture expert systems.
11. Knowledge base, inferential mechanism, interpretation answer expert systems.
12. Expert systems and control.
13. Introduction to the neuronal systems.
14. Neuronal networks.
15. Genetic algorithms.

Literature

RUSSELL, S. and P. NORVIG. Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall, 2002. ISBN 0-13-790395-2 .
BOURBAKIS, N. G. Artificial Intelligence: Methods and Applications. World Scientific, 1992. ISBN: 978-981-02-1057-1 .
FORSYTH, R. Expert systems: principles and case studies. New York: Chapman and Hall, 1989. ISBN: 9780412304606 .

Advised literature

BOURBAKIS, N. G. Artificial intelligence and automation. London: World Scientific, 1998. ISBN: 978-9810226374 .
NILSSON, N. J. Artificial Intelligence: a new synthesis. Burlington: Morgan Kaufmann Publishers, Inc.;, 1998. ISBN: 978-1558604674 .


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