Skip to main content
Skip header
Close

Searching

Artificial Intelligence and Expert Systems

Artificial Intelligence and Expert Systems
155-0994/01
čeština

Summary

The main goal of the course is to acquaint students with basic concepts and principles of artificial intelligence, state space and basic methods of its search, resolution method of predicate calculus, its application in proof of formulas and its applications in logic programming, selected concepts of knowledge representation, expert systems, fuzzy expert systems, fuzzy controllers and their economic applications.

Literature

LUGER, G. F. Artificial Intelligence. Sixth Edition. Boston: Pearson Education, Inc. 2009. 743 pp. ISBN 978-0132090018 .
GIARRATANO, J. C. and G. D. RILEY. Expert Systems: Principles and Programming, Fourth Edition. Boston: Course Technology. 2004. ISBN 978-0534384470 .
BUCKLEY, J. J. and W. SILER. Fuzzy Expert Systems and Fuzzy Reasoning. Theory and Applications. First Edition. New York: John Wiley & Sons Inc. 2005. 424 pp. ISBN: 978-0471388593 .

Advised literature

JACKSON, P. Introduction to Expert Systems. Third Edition. Edinburgh: Addison-Wesley. 1998. 560 pp. ISBN 978-0201876864 .
GHUANRONG, CH. and T. P. TRUNG. Introduction to Fuzzy Systems. First Edition. Boca Raton: Chapman&Hall/CRC. 2006. 332 pp. ISBN 978-1-58488-531-3 .
MERRITT, D. Expert Systems in Prolog. First Edition. Independently published. 2017. 239 pp. ISBN 978-1723821868 .


back to search page
Language of instruction čeština
Code 155-0994
Abbreviation UIES
Course title Artificial Intelligence and Expert Systems
Coordinating department Department of Applied Informatics
Course coordinator Ing. Petr Rozehnal, Ph.D.