Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application; Procedia - Social and Behavioral Sciences; Vol. 166 : Proceedings of The International Conference on Research Paradigms Transformation in Social Sciences 2014 (RPTSS-2014), 16–18 October 2014, Tomsk, Russia

Knowledge in Artificial Intelligence Systems: Searching the Strategies for Application; Procedia - Social and Behavioral Sciences; Vol. 166 : Proceedings of The International Conference on Research Paradigms Transformation in Social Sciences 2014 (RPTSS-2014), 16–18 October 2014, Tomsk, Russia

Bibliographic Details
Parent link:Procedia - Social and Behavioral Sciences
Vol. 166 : Proceedings of The International Conference on Research Paradigms Transformation in Social Sciences 2014 (RPTSS-2014), 16–18 October 2014, Tomsk, Russia.— 2015.— [P. 589-594]
Corporate Authors: Национальный исследовательский Томский политехнический университет (ТПУ) Институт социально-гуманитарных технологий (ИСГТ) Кафедра философии (ФИЛ), Национальный исследовательский Томский политехнический университет (ТПУ) Институт природных ресурсов (ИПР) Кафедра геоэкологии и геохимии (ГЭГХ)
Other Authors: Kornienko A. A. Alla Alexandrovna, Kornienko A. V. Anatoliy Vasilievich, Fofanov O. B. Oleg Borisovich, Chubik M. P. Maksim Petrovich
Summary:Title screen
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.
Режим доступа: по договору с организацией-держателем ресурса
Language:English
Published: 2015
Subjects:
электронный ресурс
труды учёных ТПУ
artificial intelligence
knowledge
meta-knowledge
presentation of knowledge
knowledge processing
singularity
искусственный интеллект
знания
обработка
Online Access:http://dx.doi.org/10.1016/j.sbspro.2014.12.578
http://earchive.tpu.ru/handle/11683/35454
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=638904

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