Expert systems
Guarantee: Prof. Ing.
Aims of the
subject:
The aim of the course is to provide basic knowledge in
the area of representation knowledge and design knowledge-based and expert
systems in binary form and with uncertainty.
Requirements
on students:
Completion and successful defense of project from the
field of dissertation work.
Course
programme :
Knowledge
representation.
Semantic
scheme, frame, inference in semantic scheme.
Knowledge
representation, search, solution task in state space.
Knowledge
representation, solution task and planning activity by predicate logic 1. order.
Knowledge
representation, solution task and planning activity by fuzzy logic.
Expert
systems.
Design diagnostic expert
system by AND/OR graph and production rules.
Design expert system with
uncertainty.
Readings:
Basic:
·
KELEMEN
J., LIDAY M. Expertné systémy pre prax.. SOFA, Bratislava, 1996.
·
NILSSON
N. J. Artificial Intelligence: A New Synthesis.. Morgan Kaufmann, 1998.
·
RUSSEL
S., NORVIG P. Artificial Intelligence. A Modern Approach.. Prentice
Hall, Second Edition, New Jersey, 2003.
Recommended:
·
GIARRATANO
J. C., RILEY G. D Expert Systems: Principles and Programming. PWS
Publishing, 1998.
·
JACKSON
P. Introduction to Expert Systems. Addison-Wesley, 1999.
·
LEVESQUE
H. J., LAKEMEYER G. The Logic of Knowledge Bases.. MIT Press, 2001.
·
NEGNEVITSKY
M. Artificial Intelligence : A Guide to Intelligent Systems (2nd Edition)..
Addison Wesley, 2004.
·
OLEJ
V., PETR P. Expertní systémy. část I.. Pardubice:Univerzita Pardubice,
1997.