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Artificial Intelligence Technologies in Computer and Cyber-Physical Systems
Major: System Programming
Code of subject: 7.123.02.O.005
Credits: 3.00
Department: Electronic Computing Machines
Lecturer: Professor Kuryliak Dozyslav Bohdanovych
Semester: 1 семестр
Mode of study: денна
Learning outcomes: know:
fields of applications of CSAI, knowledge base, models of knowledge representation;
logical models of knowledge representation in CSAI; the resolution method;
fuzzy sets; methods of derivation under fuzzy conditions;
semantic networks; production models; frames;
artificial neural networks; methods of making decision;
recognition of images; types of problems recognition;
methods and algorithms of classification of images;
theoretical aspects of machine translation; levels of understanding and their classification;
specifications of design and exploiting of expert systems
Required prior and related subjects: prerequisites:
- computer systems;
- systems programming;
- technologies of computer systems designing
Summary of the subject: Modern methods of CSAI and their application;
Methods of database knowledge formation;
Operation with knowledge models;
Application for CSAI designing
Assessment methods and criteria: Final control (exam), writing (50%), oral form (50%).
Recommended books: 1. Левитин К.Е., Поспелов Д.А. Будущее искусственного интеллекта.- М.: Наука, 1991.
2. Искусственный интеллект. Кн. 1-3. Под ред. Поспелова Д.А. - М.: Радио и Связь, 1990.
3. Нильсон Л. Принципы искусственного интеллекта. - М.: Радио и Связь, 1985.