UINK218 Knowledge-Based and Expert Systems

Faculty of Philosophy and Science in Opava
Winter 2018
Extent and Intensity
0/0. 4 credit(s). Type of Completion: zk (examination).
Teacher(s)
doc. Ing. Petr Čermák, Ph.D. (lecturer)
RNDr. Miroslav Langer, Ph.D. (lecturer)
Guaranteed by
doc. Ing. Petr Čermák, Ph.D.
Institute of Computer Science – Faculty of Philosophy and Science in Opava
Prerequisites (in Czech)
UFPT501 Artificial Intelligence || UINK109 Artificial Intelligence || UIN1009 Artificial Intelligence
Course Enrolment Limitations
The course is also offered to the students of the fields other than those the course is directly associated with.
fields of study / plans the course is directly associated with
Course objectives
The course introduces into the scope of the knowledge-based and expert systems. It follows and extends knowledge from the Artificial intelligence and Cognitive science courses. Students familiarize themselves with brief history of this quite new branch of the science, with the issue of the productive solving methods, with the architecture of the systems and with the issue of the checking, verifying and testing of the systems.
Syllabus
  • 1. Knowledge-based and expert systems history
    2. Findings and knowledge, knowledge representation
    3. Determinism, Non-determinism, knowledge-based systems
    4. Knowledge base, facts base, basic overview of the inference mechanism
    5. Inference mechanism
    6. Other modules of the knowledge-based and expert systems
    7. Knowledge engineering
    8. Fuzzy expert systems
    9. The quality of the knowledge-based and expert systems
Literature
    required literature
  • KELEMEN, J., KUBÍK, A., LENHARČÍK, I., MIKULECKÝ, P. Tvorba expertních systémů v prostředí CLIPS. Praha, 1999. info
  • POPPER, M., KELEMEN, J. Expertné systémy. Bratislava, 1989. info
    recommended literature
  • MAŘÍK, V. aj. Umělá inteligence I, II, III. 2001. info
  • KELEMEN, J., LIDAY, M. Expertné systémy pre prax. Bratislava, 1996. info
  • STEFIK, M. Introduction to Knowledge Systems. San Francisco, USA, 1995. info
Teaching methods
Interactive lecture
Lecture with a video analysis
Assessment methods
Exam
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 6 HOD/SEM.
Teacher's information
Written exam 100 points
Seminar work
Success rate 60 points
The course is also listed under the following terms Winter 2009, Winter 2010, Winter 2011, Winter 2012, Winter 2013, Winter 2014, Winter 2015, Winter 2016, Winter 2017, Winter 2019, Winter 2020, Winter 2021, Winter 2022.
  • Enrolment Statistics (Winter 2018, recent)
  • Permalink: https://is.slu.cz/course/fpf/winter2018/UINK218