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Вольфенгаген, Вячеслав Эрнстович

Организационные подразделения

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.

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Вольфенгаген

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Вячеслав Эрнстович

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Теперь показываю 1 - 10 из 41

Только метаданные
Increasing of Semantic Sustainability in the Interaction of Information Processes
(2020) Kosikov, S.; Parfenova, I.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020, Springer Nature Switzerland AG.Ordinary semantic network in use is based on the referencing of individuals in a constant mode. When modeling the interaction of information processes, there is a dynamic that requires a transient process. In this case, individuals can be dereferenced, which leads to a violation of the stability of the information system (IS). A dynamic model is proposed and, in particular, based on (after-became)-neighborhood of properties in the semantic network. There is a semantic Web, in which there is individual confluence, i.e. semantic vulnerabilities. A semantic secure solution is based on: (1) the semantic sustainability of interrelated information processes, (2) granulation of data-metadata objects, and (3) the generation of variable metadata objects. This is done against the background of the formation of “possible worlds” as a spectrum of evolving the events. There is a transformation of properties and an associated transition process, for which a means of ensuring sustainability is proposed.
Только метаданные
Computational Model for Granulating of Objects in the Semantic Network to Enhance the Sustainability of Niche Concepts
(2020) Kosikov, S.; Volkov, I.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020, Springer Nature Switzerland AG.An applicative model is proposed for a conceptual interface with primitives: niche, associated granularity and concordance. The approach is adequate to the problem domain of law enforcement activities, practical tasks of which serve as an experimental base. The niche is the environment for interaction of concepts, in accordance with the norms and limitations of this environment. Granularity indicates the relative level of power or influence of the defining property of the concept within the niche. The concordance is the relation of several concepts with one approved defining property, when their different representations are linked, through negotiations, into a unit of consensus. As expected, niches and granularity will facilitate the process of presenting a complicated problem domain, allowing gradually detect and eliminate inaccuracies in the target model, increasing its degree of semantic homogeneity and sustainability.
Только метаданные
Dynamics of Recognition of Properties in Diagnostics
(2020) Kosikov, S.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020, Springer Nature Switzerland AG.The issues of processing semantic information for diagnostic studies are considered, in which, with the advent of personalized medicine, the task of ensuring efficiency and accuracy has come to the fore. The solution of such problems is associated with the need to recognize the properties of the samples, which is done by experts/crowdsourcers using the means of semantic modeling. In this regard, the analysis is subject to communication (1) level of knowledge with (2) forms of information processing and with (3) levels of abstraction. For this, a dynamic semantic model is developed and applied that can take into account such parameterization.
Только метаданные
Environment of Modeling Methods for Indicating Objects Based on Displaced Concepts
(2020) Kosikov, S.; Zinchenko, K.; Ismailova, L.; Wolfengagen, V.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
© 2020, Springer Nature Switzerland AG.The paper considers the problem of constructing domain models based on a semantic network. One of the faced difficulties is to support the indication of objects that form the semantic network, while displaying the dynamics of the domain; this indication assumes the possibility of dynamic creating, modifying, and deleting objects. In this case the indication of objects is possible both by name and by position in the semantic network, as well as by the set of properties of the object. It shows that the set of indication methods required for modeling essentially coincides with the set required for controlling access to objects of the network; this makes it possible to consider the indication of objects and access control as two aspects of one task. The solution of the problem can be achieved based on using the technique of displaced concepts and description methods to indicate objects and access to them as specialization of concept bias. The paper generates requirements to the methods of objects indication and proposes an environment that provides modeling of various methods of indication based on the support of methods for modeling the shift of concepts in an applicative computing system. It describes a prototyped implementation of the environment by the method of extending an applicative system. The implementation was tested on the tasks of describing dynamic domains to support the introduction of the best available technologies.
Только метаданные
Mutable Applicative Model to Prevent Entanglement of Information Processes
(2020) Kosikov, S.; Maslov, M.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2020, Springer Nature Switzerland AG.A system for detecting and possibly preventing undesirable changes in the properties of objects within information system (IS), leading to a violation of the semantic consistency of information, unstable functioning of the IS and, ultimately, loss of its operability, is proposed. The modeling tools is a means for detecting and preventing the destruction of the semantic integrity of data/metadata objects in IS. The basis is the original computational model, which increases the sustainability of semantic nets, while giving them more opportunities to reflect the dynamics of the problem domain. This gives rise to IS with increased expressive capabilities, supporting the evolving semantic nets, integrated with the Web. Mechanisms for modeling the dynamics of concepts and the computational model contribute to overcoming the contradictions that exist for today in the application of semantic information technologies.
Только метаданные
On Capturing the Variability in the Modeling of Individual Behavior
(2020) Dohrn, M.; Wolfengagen, V.; Вольфенгаген, Вячеслав Эрнстович
© 2020, Springer Nature Switzerland AG.When processing semantic information, there are difficulties in modeling the behavior of an individual with a variation in his behavior, which is accompanied by a change in its properties. This paper presents a semantic model that is able to take into account the effect of variation in behavior based on an individual-as-process representation. The problem of interaction between individuals who have differing intentions at some stage is considered, which is taken into account by attributing various properties to the information processes representing them. During the development of events at a later stage, individuals may approve similar intentions, which is taken into account by attributing equivalent properties to the information processes representing them. In the future, the approved properties may again differ, requiring the presentation of different processes. The presented semantic model is distinguished by conciseness and minimum of used mathematical tools, which increases its practicality.
Только метаданные
Cognitive Features for Stability of Semantic Information Processing
(2020) Kosikov, S.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2020, Springer Nature Switzerland AG.The issues of semantic information processing are considered. The central idea of information in the modern world is still an elusive concept. It is known that information must be quantified, at least in terms of partial ordering, to be additive, stored and transmitted. However, besides all this, there is no clear idea about its specific nature. The development of cognitive technologies poses the question of forms of knowledge representation: can the “stage of knowledge” be fully and faithfully analyzed in terms and forms of information processing at some level of abstraction? In other words, the analysis is to relate (1) the stage of knowledge with (2) forms of information processing and (3) levels of abstraction. Among the problems posed by the development of information technology, one of the key roles is played by the information semantics. The most significant open problems imply the development of research on a new basis in the following areas: providing data substantiation (how data can acquire meaning); ensuring the truth of the data (as meaningful data can acquire true values); building an information theory of truth (can information explain truth); constructing information semantics (can information explicate a value).
Только метаданные
Computationally inspired cognitive modeling
(2024) Wolfengagen, V.; Ismailova, L.; Kosikov, S.; Исмаилова, Лариса Юсифовна; Вольфенгаген, Вячеслав Эрнстович
A computational approach to cognitive modeling is proposed. The computational model is a parametric construction that takes into account cognitive stages and transitions between them. The cognitive model enables the idea of information processes, from their birth and appearance in a scope, evolution and canceling out their existence and disappearing from the scope. Process habitats are Lawvere's variable domains; inter-transition is based on the notion of channeled spreading of processes.
Только метаданные
Combinator-as-a-Process for Representing the Information Structure of Deep Computing
(2021) Kosikov, S.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.In the present work, the main attention is paid to elucidating the technological features of computations with individual generators, or objects. Their interaction is considered in an applicative environment, which allows us to elucidate the internal structure of ordinary operations, the knowledge of which allows us to understand their properties. The choice of initial constant generators, considered initial and expressed by combinators, is discussed. These initial generators are used as the main “building blocks” that enter into the applicative medium in interaction with each other. As a result of the interaction, constructions arise that give representative sets of ordinary operators and immersed computing systems.
Только метаданные
Modeling spread, interlace and interchange of information processes with variable domains
(2021) Kosikov, S.; Babushkin, D.; Wolfengagen, V.; Ismailova, L.; Вольфенгаген, Вячеслав Эрнстович; Исмаилова, Лариса Юсифовна
© 2020 Elsevier B.V.In this paper a semantic metalanguage is developed and designed to study the occurrence, spread and safe interaction of semantic processes in information modeling systems, including cognitive interference. An approach to construe a semantic network is proposed and based on a computational model in which both nodes and arcs are information processes. Concepts are represented by intensional objects within the framework of theories without types, and they, in turn, are considered as special counterparts of typed theories. Similar mixing was used in model studies for lambda calculus. To a contrast with them, in this paper, information processes correspond to parameterized metadata objects, which are variable domain constructs. Transformations of variable domains correspond to the spread of the process. Directional transformation provides the generation of metadata targets in the form of parameterized concepts. This simulates the development of the process, which corresponds to the spread of cognitive interference and allows the interpretation of a hidden time factor. The emerging model is purely process based and provides such a conceptual framework. The possibility of coding this framework with a system of interdependent lambda terms is reflected.