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Artificial Intelligence Technologies in Computer and Cyber-Physical Systems
Major: Computer Systems and Networks
Code of Subject: 7.123.01.O.8
Credits: 3
Department: Electronic Computing Machines
Lecturer: Professor Kuryliak Dozyslav Bohdanovych
Semester: 2 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
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
- 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
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.
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.
Assessment methods and criteria:
Final control (exam), writing (50%), oral form (50%).