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Cognitive Modelling Quality Rising by Applying Quantum and Optical Semantic Approachesтезисы доклада
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 20 мая 2019 г.
- Автор: Raikov A.
- Сборник: Proc. 18th IFAC Conference on Technology, Culture and International Stability. Sept 13-15, 2018, Baku, Azerbaidschan
- Серия: PapersOnLine 51-30
- Тезисы
- Год издания: 2018
- Место издания: Baku, Azerbaidschan
- Первая страница: 492
- Последняя страница: 497
- DOI: 10.1016/j.ifacol.2018.11.309
- Аннотация: Advanced decision support systems require significant acceleration of decision-making under conditions when factors describing the situation are ill-defined and non-metric. As a rule, such conditions arise in the field of politics, culture and in the social sphere. Cognitive modelling technology is applied in these cases. The cognitive models are created by people, experts from different subjects’ fields. The modelling processes take a great deal of time. Furthermore, the result of the modelling has to be verified when the model’s creators cannot get complete information and have to understand the problem very quickly. The factors and their mutual relationships in cognitive models could be verified with Big Data analysis technology. But this approach takes into account only denotational semantics that are based on the mapping of the model on formalised logical constructions, words, objects, schemes. This paper addresses the issue of creating cognitive semantics that take into consideration thinking, feeling and transcendental factors. It is shown that the classical computer or quantum computer cannot ensure cognitive semantics because they are based on discrete representation of data. An optical computing and Optical Semantic approach could be applied. The architecture of the special optical processor is represented.
- Добавил в систему: Райков Александр Николаевич