P031 Knowledge Systems

Faculty of Informatics
Spring 2000
Extent and Intensity
2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: k (colloquium), z (credit).
Teacher(s)
doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)
Guaranteed by
prof. RNDr. Mojmír Křetínský, CSc.
Department of Computer Science – Faculty of Informatics
Contact Person: doc. RNDr. Lubomír Popelínský, Ph.D.
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
Syllabus
  • Knowledge-based systems: architecture, knowledge representation, methods of inference.
  • Database and knowledge-based systems.
  • Principles of expert system shells.
  • CLIPS - C Language Integrated Production System
  • Uncertainty. Dempster-Shaffer theory. Intro to fuzzy logics.
  • Building knowledge bases. Knowledge acquisition: interactive transfer of knowledge. Inductive learning.
Literature
  • MERRITT, Dennis. Building Expert Systems in Prolog. New York: Springer-Verlag, 1989, 358 s. ISBN 0387970169. info
  • GIARRATANO, J. and G RILEY. Expert Systems. Principles and Programming. Boston: PWS-KENT Publishing Company, 1989. info
  • BROWNSTON, Lee. Programming expert systems in OPS5 : an introduction to rule-based programming. Reading: Addison-Wesley Publishing Company, 1986, xviii, 471. ISBN 0-201-106647-7. info
Assessment methods (in Czech)
Podmínkou absolvování je projekt v jazyku CLIPS.
Language of instruction
Czech
Teacher's information
http://www.fi.muni.cz/usr/popelinsky/kbs.html
The course is also listed under the following terms Autumn 1995, Autumn 1996, Autumn 1997.
  • Enrolment Statistics (recent)
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