|
Lecturer(s)
|
-
Hájek Petr, prof. Ing. Ph.D.
|
|
Course content
|
The artificial intelligence programming language PROLOG. Knowledge and expert systems. Knowledge representation. Framework, procedural and declarative schemes of knowledge representation. Synthesis and analysis of decision-support processes with uncertainty. Fuzzy sets, statement fuzzy logic. The artificial intelligence programming language fuzzy PROLOG. Resolution principle in propositional logic and propositional fuzzy logic. Plausible inference, intensional and extensional approach. Bayes method, Dempster-Shafer method, multi-value logic. Basic knowledge and expert systems design. Knowledge and expert systems programming. Example of neural network as a simple knowledge system in management and decision-support.
|
|
Learning activities and teaching methods
|
|
Monologic (reading, lecture, briefing), Dialogic (discussion, interview, brainstorming), Laboratory work
|
|
Learning outcomes
|
The aim of the course is to provide basic knowledge in the area of artificial and computational intelligence and the possibilities for its use in various areas of social life, especially the economics, social and environmental fields.
The students should be able to design basic knowledge systems and expert systems in general (binary or with uncertainty) in the artificial intelligence programming language PROLOG, as well as be able to use the artificial intelligence methods in decision-making and management.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Oral examination, Written examination, Didactic test, Discussion, Class observation
Requirements for assignment: completion and successful defence of two projects with a success rate of at least 60 %, written test throughout the semester with a success rate of at least 60 %. Requirements for exam: written examination with a success rate of at least 60 %.
|
|
Recommended literature
|
-
MAŘÍK, V., ŠTĚPÁNKOVÁ, O., LAŽANSKÝ, J. a kol. Umělá inteligence (1)-(4). Academia.. Praha, 2003.
-
NILSSON, N. J. Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 1998, ISBN 1558604677. Morgan Kaufmann, 1998. ISBN 1558604677.
-
OLEJ V. Modelovanie ekonomických procesov na báze výpočtovej inteligencie.. Miloš Vognar - M&V, Hradec Králové, 2003. ISBN 80-903024-9-1.
-
OLEJ,V.-PETR, P.:. Expertní a znalostní systémy v managementu. část: Expertní systémy. Distančné vzdelávanie v systéme eDOCEO - distanční opora, Fakulta ekonomicko - správní, Univerzita Pardubice, Pardubice, 2004, 54 s.. ISBN 80-7194-688.
|