Digital Twin Generation: Re-Conceptualizing Agent Systems for Behavior-Centered Cyber-Physical System Development

Abstract

Cyber-Physical Systems (CPS) form the new backbone of digital ecosystems. Upcoming CPS will be operated on a unifying basis, the Internet of Behaviors (IoB). It features autonomous while federated CPS architectures and requires corresponding behavior modeling for design and control. CPS design and control involves stakeholders in different roles with different expertise accessing behavior models, termed Digital twins. They mirror the physical CPS part and integrate it with the digital part. Representing role-specific behaviors and provided with automated execution capabilities Digital twins facilitate dynamic adaptation and (re-)configuration. This paper proposes to conceptualize agent-based design for behavior-based Digital twins through subject-oriented models. These models can be executed and, thus, increase the transparency at design and runtime. Patterns recognizing environmental factors and operation details facilitate the configuration of CPS. Subject-oriented runtime support enables dynamic adaptation and the federated use of CPS components.

Ecosystem methodology for the development of the scientific potential of the network interaction of economic agents in the digital environment

“…According to the Oxford American Dictionary an agent is a person or someone who plays an active role or produces a certain effect. Also, an agent is understood as a firm, organization or socio-technical environment that ensures the receipt and increment of the effect [2].…”

“…In the context of digital transformations in the management of organizations, data, not real assets, become a strategic asset for a company. The development of digital twin platforms in a company predetermines the formation of an ecosystem as a natural system environment of a company, which allows economists to study both the market as a whole and the intermediate structure between the market and the company [2,26]. The digital twin, as a virtualized model of a physical object, plays a critical role in the digital transformation of an organization.…”

Smart Node Networks Orchestration: A New E2E Approach for Analysis and Design for Agile 4.0 Implementation

“…As reported by Muller in [16], nowadays one of the principal barriers for f tion of I 4.0 technologies is the lack of competencies, in particular lack of qualif IT-related competencies (e.g., data analysis, streaming and manipulation with s this creates the fear of job losses against the principles of I 4.0 cyber-physical coo Central characteristics of such systems are intelligence, self-awareness, self-management and self-configuration [6]. Such characteristics are also shared in terms of modelling and implementation with multi-agent systems that seems a promising approach to manage cyber-physical systems thanks to behaviour driven modelling and encapsulation where it is possible to represent different behaviours depending on different input triggers due to external technical systems, external virtual systems or interaction with human beings, creating in this way a human in the loop ecosystems [7]. An important area in this domain is data mining and orchestration of smart nodes.…”

Design of a Digital 3D Model of Transport–Technological Environment of Open-Pit Mines Based on the Common Use of Telemetric and Geospatial Information

“…In recent years, Digital Twin technologies have attracted considerable interest among researchers [ 7 , 11 , 13 , 14 , 26 ]. Although the conceptual idea of a Digital Twin (Digital Shadow)—that is, a model that completely copies the behavior of an object and, in a certain sense, even predetermines its future state—has been known for more than 15 years [ 27 , 28 ], opportunities of using such a system in control tasks (such as strategically and operatively for dispatching) open up today [ 29 , 30 ]. Further, if for discrete conveyor-line production at the moment there are mainly technical issues of implementing control using 3D models built using digital twin technologies; then, for productions with continuous and nonstationary technological cycles and with a huge fleet of different types of sensor devices, (in particular, transport and technological operations of open-pit mines apply to that type of processes), there are problems associated with the integration, and temporal and spatial scaling of heterogeneous information flows for the creation of digital twins [ 31 , 32 , 33 , 34 , 35 , 36 , 37 ].…”