A cognitive challenge and information technologies

Малинецкий, Г Г; Manenkov, Sergey; Митин, Н А; Shishov, V V

doi:10.1134/s1019331611040034

Cited by 7 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Geoinformation technologies T gk , included in T g , ensure the achievement of the objectives of subjects, associated with the use of the surrounding space and based on spatial knowledge and intellectual methods, methods and algorithms. In this regard, they acquire the properties of cognitive technologies, the essence of which is the use of data "on the processes of cognition, learning, communication, and information processing by a person" [10], and which are built on the formalization of human cognitive abilities [11].…”

Section: Resultsmentioning

confidence: 99%

Digital economy and geoinformation technologies

Lisitsky¹,

Baykov²,

Osipov³

et al. 2017

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017)

View full text Add to dashboard Cite

-The article characterizes the essentials and peculiarities of digital economy and lists its basic technologies. A hybrid space, formed by means of integrating a virtual space component into a real one, serves as its basis. The article underlines that in hybrid space, an object can acquire the properties of a subject; things can communicate with each other, the possibility to model everything that can be represented in formalized form appears. The article states the special role of geo-information technologies as the generators of special part of digital economy. For the first time the paper shows the changing of the role function of the geospatial branch in the process of changing the analogue economy to the digital one: from locating real objects of environment to forming spatial knowledge and management solutions as virtual prescriptive (normal) models to influence real objects. The article introduces a new notion of geocognitive technology as a special class of cognitive information technologies, related to perception and usage of geospace. The paper formulates three strategic goals of geospatial activity transformation for requirements and conditions of digital economy: the creation of the geo-informational digital platform, the development of cognitive formation and usage of technologies of unified geo-informational space (UGIS), the development of a number of "through" geo-informational technologies, providing service geospatial functions for different applications. The example of the transition of the concept to geo-cognitive technologies is the open high technology system for managing the region territory -"Smart region".

show abstract

Section: Resultsmentioning

confidence: 99%

Digital economy and geoinformation technologies

Lisitsky¹,

Baykov²,

Osipov³

et al. 2017

Proceedings of the International Conference "Actual Issues of Mechanical Engineering" 2017 (AIME 2017)

View full text Add to dashboard Cite

show abstract

“…Therefore, we have a problem to determine a universal approach to the description and study of such systems. The results of synergetic studies showed that at a certain level of abstraction, there are deep analogies between the behavior of various complex systems [1][2][3][4]. It determines the universality of the approach to the complex systems study.…”

Section: Introductionmentioning

confidence: 99%

Educational Laboratory Complex for the Study of Complicated Systems

Suyatinov

2020

ITM Web Conf.

View full text Add to dashboard Cite

Laboratory practice is an important part of the educational process in a technical university. It helps to develop the skills of independent work of a future engineer and to consolidate theoretical knowledge. Due to a change-over to the digital economy, the introduction of complex production systems and their digital twins, the organization of laboratory work corresponding to the current state of the art gets more complicated. The article presents a biotechnological educational research complex for laboratory practice of the future specialists in the field of managing complex organizational and technical systems. Main feature of the complex is that the student performs two functions at the same time. He is both a researcher and an object of study, representing a complex system. The initial information in the process of laboratory work is the biosignals registered by mini sensors. The main purpose is to identify and evaluate the functional state of a person as a complex system. Various methods and algorithms for processing time series are used. Being an effective form of active learning, this approach motivates the student not only to acquire knowledge, but also to actively search for it. We give an example of using the complex to create a digital twin.

show abstract

“…The developed software is used in ROSCOSMOS. The work follows concepts of previous research done in Keldysh Institute of Applied Mathematics, RAS in the area of decision support systems [5,6].…”

mentioning

confidence: 98%