FI:PA031 Knowledge systems - Course Information

PA031 Knowledge Systems

Faculty of Informatics
Spring 2003

Extent and Intensity

2/1. 3 credit(s) (plus extra credits for completion). Recommended Type of Completion: zk (examination). Other types of completion: z (credit).

Teacher(s)

doc. RNDr. Lubomír Popelínský, Ph.D. (lecturer)

Guaranteed by

Prerequisites (in Czech)

Course Enrolment Limitations

The course is only offered to the students of the study fields the course is directly associated with.

fields of study / plans the course is directly associated with

there are 6 fields of study the course is directly associated with, display

Course objectives (in Czech)

Přehled základních metod reprezentace znalostí a metod inference. Znalostní systém. Součástí předmětu je projekt.

Syllabus

Languages for artificial intelligence: LISP, Prolog.
Knowledge-based systems: architecture, methods of inference.
CLIPS - C Language Integrated Production System
Uncertainty. Introduction to fuzzy logics, bayesian belief networks.
Building knowledge bases. Knowledge acquisition: interactive transfer of knowledge. Inductive learning.
Database and knowledge-based systems: Rules in databases. Deductive and active databases. Deductive object-oriented databases.

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

Further comments (probably available only in Czech)

The course is taught once in two years.
The course is taught: every week.

Teacher's information

http://www.fi.muni.cz/usr/popelinsky/kbs.html