Publication:
Cognitive System for Traversing the Possible Worlds with Individual Information Processes

Дата
2022
Авторы
Kosikov, S.
Dohrn, S.
Wolfengagen, V.
Ismailova, L.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
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Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.In this work, an individual process, or for short, an individual is selected, and the “history” of its transformations is traced, depending on the scenario. Scenario is considered as the restriction imposed on the behavior of individual. States, or separate scenes, are achieved by possible worlds, and transitions between worlds are given by the relation of reachability, or evolvent. The evolvent restricts a transition from one stage of knowledge to later stages. In fact, in this work, the only preliminary work has been done to study the dynamics of the individual and a leading example is formulated. Its formulation gives rise to the induced commutative diagrams in a representative functor category. The mathematical apparatus involved is based on the variable domains and the functor category that represents them. Its purpose is to develop a certain intuition of semantic modeling, and then, if possible, to form a cognitive system. Some limited semantic models have been implemented and are undergoing further practical testing and improvement.
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Цитирование
Cognitive System for Traversing the Possible Worlds with Individual Information Processes / Kosikov, S. [et al.] // Studies in Computational Intelligence. - 2022. - 1032 SCI. - P. 596-601. - 10.1007/978-3-030-96993-6_67
URI
https://www.doi.org/10.1007/978-3-030-96993-6_67
 https://www.scopus.com/record/display.uri?eid=2-s2.0-85127638878&origin=resultslist
 http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=Alerting&SrcApp=Alerting&DestApp=WOS_CPL&DestLinkType=FullRecord&UT=WOS:000833484200067
 https://openrepository.mephi.ru/handle/123456789/28961
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