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https://er.knutd.edu.ua/handle/123456789/19910
Полная запись метаданных
Поле DC | Значение | Язык |
---|---|---|
dc.contributor.author | Shcherban, V. Yu. | - |
dc.contributor.author | Demkivskiy, Y. O. | - |
dc.contributor.author | Demkivska, T. I. | - |
dc.contributor.author | Shramchenko, B. L. | - |
dc.contributor.author | Rezanova, V. G. | - |
dc.date.accessioned | 2022-09-12T12:39:34Z | - |
dc.date.available | 2022-09-12T12:39:34Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Methods and systems of artificial intelligence : textbook / V. Yu. Shcherban, Y. O. Demkivskiy, T. I. Demkivska, B. L. Shramchenko, V. G. Rezanova. – Київ : ТОВ "Фастбінд Україна", 2022. – 212 с. | uk |
dc.identifier.isbn | 978-617-8237-17-2 | uk |
dc.identifier.uri | https://er.knutd.edu.ua/handle/123456789/19910 | - |
dc.description.abstract | The textbook is aimed at the formation of a basic set of knowledge for students of the specialty 122 Computer Science and student-oriented preparation of a bachelor's degree. The tutorial discusses the models and methods used in artificial intelligence systems. Considerable attention is paid to the design of artificial intelligence systems, the consideration of intelligent systems based on knowledge and means of representing and processing knowledge. The material is presented in accordance with the program of the discipline. Contains theoretical material, tasks for independent work of students and examples of their implementation, questions for selfcontrol. The tutorial can be used by teachers, students and graduate students in the field of computer science. | uk |
dc.language.iso | en | uk |
dc.publisher | ТОВ "Фастбінд Україна" | uk |
dc.subject | artificial intelligence | uk |
dc.subject | intelligent system | uk |
dc.subject | intellectual problem | uk |
dc.subject | space | uk |
dc.subject | blind search | uk |
dc.subject | heuristic search | uk |
dc.subject | heuristic search methods | uk |
dc.subject | artificial intelligence systems | uk |
dc.subject | production models of knowledge representation | uk |
dc.subject | solution management | uk |
dc.subject | productive systems | uk |
dc.subject | semantic grids | uk |
dc.subject | frames | uk |
dc.subject | expert systems | uk |
dc.subject | knowledge engineering | uk |
dc.subject | Visual Prolog | uk |
dc.subject | Allegro Common Lips | uk |
dc.subject | CLIPS | uk |
dc.subject | JESS | uk |
dc.subject | ontological approach | uk |
dc.subject | interpretation | uk |
dc.subject | distributed information environments | uk |
dc.subject | Internet | uk |
dc.subject | autoregressive models in Eviews | uk |
dc.subject | selected model | uk |
dc.subject | unification | uk |
dc.subject | search with return | uk |
dc.subject | cycle | uk |
dc.subject | recursion | uk |
dc.subject | lists | uk |
dc.subject | internal database of facts | uk |
dc.subject | determining relationships based on facts | uk |
dc.subject | perceptron | uk |
dc.subject | method of group consideration of arguments | uk |
dc.title | Methods and systems of artificial intelligence | uk |
dc.type | Підручник | uk |
local.subject.faculty | Факультет мехатроніки та комп'ютерних технологій | uk |
local.subject.department | Кафедра комп'ютерних наук | uk |
local.subject.method | 0 | uk |
Располагается в коллекциях: | Навчально-методичні видання Кафедра комп'ютерних наук (КН) |
Файлы этого ресурса:
Файл | Описание | Размер | Формат | |
---|---|---|---|---|
20220908_305.pdf | 2,27 MB | Adobe PDF | Просмотреть/Открыть |
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