155-0994/01 – Artificial Intelligence and Expert Systems (UIES)

Gurantor departmentDepartment of Applied InformaticsCredits10
Subject guarantorIng. Petr Rozehnal, Ph.D.Subject version guarantordoc. Mgr. Miroslav Černý, Ph.D.
Study levelpostgraduateRequirementCompulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2020/2021Year of cancellation2021/2022
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
CER275 prof. Ing. Martin Černý, Ph.D.
HAN60 prof. Ing. Jana Hančlová, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 28+0
Part-time Examination 28+0

Subject aims expressed by acquired skills and competences

1. Know the basic principles of state space and methods of its searching based on the knowledge of artificial intelligence. 2. Understand the principles of knowledge representation within knowledge systems. 3. Understand the basic principles of creating individual components of expert systems and fuzzy expert systems. 4. Being able to apply the principles of fuzzy expert systems in their practical design and implementation.

Teaching methods

Individual consultations
Project work


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.

Compulsory 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.

Recommended 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.

Way of continuous check of knowledge in the course of semester

- project development - oral exam


Other requirements

There are no further requirements for students attending this course.


Subject has no prerequisities.


Subject has no co-requisities.

Subject syllabus:

1. State space and its properties, basic methods of uninformed and informed state space search 2. Resolution method of first order predicate calculus and its use in proving the truth of formulas, Horn clause 3. The concept of knowledge and expert system and ways of representing knowledge within these systems, knowledge base, data base of expert systems and basic principles applied in inference mechanisms of expert systems 4. Fuzzy language variable and its language values, formulas of multivalued fuzzy language logic, truth values ​​of formulas 5. Fuzzy expert systems and their basic properties, architecture of diagnostic, planning and hybrid fuzzy expert systems, methodology of creating knowledge base of fuzzy expert systems, queries and interpretation of fuzzy oriented rule expert systems, selected economic applications of fuzzy expert systems

Conditions for subject completion

Full-time form (validity from: 2020/2021 Winter semester, validity until: 2021/2022 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of pointsMax. počet pokusů
Examination Examination   3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2021/2022 (P0311D050019) Systems Engineering and Informatics P Czech Ostrava Compulsory study plan
2021/2022 (P0311D050019) Systems Engineering and Informatics K Czech Ostrava Compulsory study plan
2020/2021 (P0311D050019) Systems Engineering and Informatics P Czech Ostrava Compulsory study plan
2020/2021 (P0311D050019) Systems Engineering and Informatics K Czech Ostrava Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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