UIINK29 Knowledge-Based and Expert Systems

Faculty of Philosophy and Science in Opava
Winter 2019
Extent and Intensity
8/0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
RNDr. Miroslav Langer, Ph.D. (lecturer)
Guaranteed by
RNDr. Miroslav Langer, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
TYP_STUDIA ( B )&& UIINK20 Artificial Intelligence
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
The course introduces students, in connection with the course Artificial Intelligence, into the problems of applications of artificial intelligence in the field knowledge and expert systems.
Learning outcomes
Students will be able to:
to identify and describe the basic features of the architecture of systems and its individual parts, basic and additional system modules,
- apply the fuzzy approach in the creation of knowledge systems
- describe the evaluation, verification and testing of systems.
Syllabus
  • 1. History of expert and knowledge-based systems
  • 2. Knowledge and representation of knowledge
  • 3. Determinism, nondeterminism, Knowledge-based/expert systems
  • 4. Knowledge rule base, fact base, basis of inference mechanism
  • 5. Inference mechanism
  • 6. Other modules of knowledge-based/expert system
  • 7. Knowledge-based engineering
  • 8. Fuzzy expert systems
  • 9. Quality and evaluation of expert systems
Literature
    required literature
  • CASTILLO, Enrique et. al. and CASTILLO, Enrique et. al. Expert systems and probabilistic network models. New York: Springer, 2012. ISBN 978-1-4612-7481-0. info
    recommended literature
  • MAŘÍK, V. a kol. and MAŘÍK, V. a kol. Umělá inteligence (1-6). Praha,: Academia, 2013. info
  • KOMNINOS, Nicos. Intelligent cities: innovation, knowledge systems, and digital spaces. SponPress, 2012. ISBN 0-415-27718-3. info
  • KELEMEN, J., KUBÍK, A., LENHARČÍK, I., MIKULECKÝ, P. Tvorba expertních systémů v prostředí CLIPS. Praha, 1999. info
  • KELEMEN, J., LIDAY, M. Expertné systémy pre prax. Bratislava, 1996. info
  • POPPER, M., KELEMEN, J. Expertné systémy. Bratislava, 1989. info
Teaching methods
Interactive lectures
Lectures with discussion
Assessment methods
Exam:
written exam
seminar work
Language of instruction
Czech
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: Přednáška 8 HOD/SEM.
The course is also listed under the following terms Winter 2020, Winter 2021, Winter 2022, Winter 2023.
  • Enrolment Statistics (Winter 2019, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2019/UIINK29