Specifics of Accounting for Agent Activeness in the Digital Twin of the Social System

Mikhail Samosudov ()
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Mikhail Samosudov: State University of Management

A chapter in Digital Transformation in Industry, 2023, pp 481-491 from Springer

Abstract: Abstract The paper presents an approach to formalizing agent activeness in a simulation model of a social system for the purpose of creating a digital twin. It is shown that it is fundamentally important to consider the dualism of agent activeness, which has two coexisting components—resource and system activeness. These components are linked, but not linearly. Moreover, resource activeness is more important for subjective evaluations of the agent, and the system activeness, which determines an irremediable conflict in the social system that requires the system’s dynamics to be considered in the calculation, is of crucial role in the development of the social system. We also examine the sequence of the agent’s activeness in the socio-economic space and the influence of subjective assessments of the environment, expected incoming flows of resources and messages, as well as outgoing flows of resources on activeness. The possibility of using gradients of information and resource flows for modeling the dynamics of the social system in the socio-economic space is put up for discussion, which makes it possible to create predictive models of the dynamics of the environment and the social system.

Keywords: Digital twin of the social system; Simulation model; Digital transformation; Active system (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-031-30351-7_35

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DOI: 10.1007/978-3-031-30351-7_35

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