Distributed situational centres system of cutting edge development

Ilyin, N. I.; Malinetsky, G. G.; Колин, К.К.; Zatsarinny, A. A.; Raikov, Alexander; Lepskiy, Vladimir; Slavin, Boris

doi:10.1109/mlsd.2017.8109638

Cited by 13 publications

(3 citation statements)

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“…The study of the possibilities of developing specific subject-oriented information platforms was carried out by us on the example of improving the system of distributed situational centres, i.e. social and humanitarian transformation of situational centres into development centres (Ilyin et al , 2017).…”

Section: Social Responsibility In Self-developing Reflexive-active Environments (Ontological Cybernetics)mentioning

confidence: 99%

An agenda for ontological cybernetics and social responsibility

Espejo¹,

Lepskiy

2020

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Purpose This paper aims to offer an integration of Vladimir Lepskiy’s third-order cybernetics and Raul Espejo’s Viplan methodology. Key ideas are mechanisms for social responsibility and a methodology to improve them through self-developing reflexive-active environments. Design/methodology/approach The authors propose a methodology based on modern philosophy of science, which sets the foundation of ontological cybernetics, constructed by subjects with different epistemological stances. This methodology includes considerations for social values, worldview principles, multiple viewpoints and subject-oriented information and communication platforms. Findings Current negative trends in socio-economic and environmental developments are associated with weaker social responsibilities of those holding power in society. To increase their social responsibility, the authors argue it is necessary for them to have more effective governance and development mechanisms. The proposed methodology ensures more effective interactions of stakeholders toward creating, regulating and implementing societal problem-solving. Research limitations/implications This paper offers an initial theoretical conceptualization and illustration of social responsibility, which would benefit from further conceptual developments and practical applications. Social implications The methodology helps increasing the level of social responsibility of all participants in control and development processes in social systems. The proposed approach allows ensuring the inclusion of stakeholders in societal problem solving through participatory methods and democratic approaches. Originality/value The conceptual and methodological ideas of this paper are based on the authors’ original research. The methodology and model of ontological cybernetics proposed in this paper are based on organizational cybernetics and modern views of philosophy of science. The methodology and model include basic ontological values and principles.

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Section: Social Responsibility In Self-developing Reflexive-active Environments (Ontological Cybernetics)mentioning

confidence: 99%

An agenda for ontological cybernetics and social responsibility

Espejo¹,

Lepskiy

2020

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“…The instruments of the above-mentioned SC [4] can be useful for centralizing the control of monitoring problems' situations' and ensuring coherence of group decision-making and actions of various teams and organizations. SC helps make group decision-making processes stable (sustainable) and purposeful by involving AI and virtual collaboration technology to give participants the power to achieve synergy in the decision-making processes [26]. SC is using for solving problems that can be characterized by the following specific features:…”

Section: Cognitive and Denotative Semanticsmentioning

confidence: 99%

Accelerating Decision-Making in Transport Emergency with Artificial Intelligence

Raikov¹

2020

Adv. sci. technol. eng. syst. j.

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The paper addresses speeding up meetings in a networked environment during rescue works in a transport emergency. Several groups of representatives of various services and observers participate in those meetings. The number of wrong decisions tends to increase because remote participants cannot understand each other quickly. First, the meetings must be efficiently held to avoid making wrong decisions, including medical diagnoses for injuries. The ultimate goals are to improve injured' health and life. Artificial intelligence (AI), big data analysis, and deep learning methods suggested in this paper for decisionmaking support have a cognitive character, i.e., try to take into account the thoughts and emotions of participants. The author's convergent approach ensures the purposefulness and sustainability of decision-making. This approach transforms divergent decision-making processes into convergent. The approach is based on the inverse problem-solving method in topological space, genetic algorithms, control thermodynamic theory, and using the ideas of creating AI models' cognitive semantics with quantum mechanics methods. This approach gives meetings' members the list of decision-making rules with accelerating consensus achievement. The examples of the rules are: the goals have to be arranged as a 3-level tree and ordered by importance; semantic interpretations of computer models' factors and their connections must be separated; rescue resources must be represented in a finite number of separated components, and so on. The approach also exploits traditional technical tools of augmented reality, virtual collaboration, and situational awareness. It has been repeatedly used to build socioeconomic and manufacturing sectoral strategies and is currently being adapted for emergencies.

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“…), on the basis of artificial intelligence (agents) and also on the basis of integration of natural and artificial intelligence. The organization of interaction of active elements among themselves and with the environment in general is defined by the system of values, principles, ontologies (maintenance, support, development, designing, providing innovations), criteria (efficiency, safety, development, satisfaction) and also by the specialized subject-focused information platform [5,10,11]. Ontologies and principles of organization of self-developing reflexive active environments allow us to identify the basic mechanisms of self-regulation of reflective activity: -…”

Section: Reflective Activity (Post-non-classics)mentioning

confidence: 99%

Reflexive Self-Organizing Decision Support Systems for Development Governance

Lepskiy¹

2018

IJET

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In the context of the development of ideas about scientific rationality (classical, non-classical, post-non-classical) the role and diversity of types of reflexive activity in supporting decision makers are justified. The basic types of reflexive activity and reflexive technologies in management are systematized. The trend of transition from control to self-regulation of reflexive activity in self-developing reflexively active environments is grounded.

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Distributed situational centres system of cutting edge development

Cited by 13 publications

References 1 publication

An agenda for ontological cybernetics and social responsibility

An agenda for ontological cybernetics and social responsibility

Accelerating Decision-Making in Transport Emergency with Artificial Intelligence

Reflexive Self-Organizing Decision Support Systems for Development Governance

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