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Название: Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application
Авторы: Kornienko, Alla Alexandrovna
Kornienko, Anatoliy Vasilievich
Fofanov, Oleg Borisovich
Chubik, Maksim Petrovich
Ключевые слова: artificial intelligence; knowledge; meta-knowledge; presentation of knowledge; knowledge processing; singularity; искусственный интеллект; знания; обработка
Дата публикации: 2015
Издатель: Elsevier
Библиографическое описание: Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application [Electronic resource] / A. A. Kornienko [et al.] // Procedia - Social and Behavioral Sciences . — 2015 . — Vol. 166 : Proceedings of The International Conference on Research Paradigms Transformation in Social Sciences 2014 (RPTSS-2014), 16–18 October 2014, Tomsk, Russia . — [P. 589-594] .
Аннотация: The studies based on auto-epistemic logic are pointed out as an advanced direction for development of artificial intelligence (AI). Artificial intelligence is taken as a system that imitates the solution of complicated problems by human during the course of life. The structure of symbols and operations, by which intellectual solution is performed, as well as searching the strategic reference points for those solutions, which are caused by certain structures of symbols and operations, – are considered among the main issues in analysis of AI and its applications. Expert systems are interpreted as a kind of intelligent systems; different ways to represent knowledge (such as logical model, frame-based and production systems, semantic networks) are described within the framework of cognitive studies of AI. The presentation of knowledge is stated to be the methodology for modeling and formalization of conceptual knowledge in the field of engineering.
URI: http://earchive.tpu.ru/handle/11683/35454
Располагается в коллекциях:Материалы конференций

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