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Title
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An architecture for intelligent agent-based digital twin for cyber-physical systems
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Author
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Abstract
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| Recent years have witnessed the emergence of the fourth industrial revolution (Industry 4.0) era. This direction is propelled by digitization endeavors in various sectors and domains. Cyber-physical systems (CPS) and the Internet of Things (IoT) are the backbone technologies that play prominent roles and are widely utilized for digitization in various disciplines. Digital Twin (DT) technology, which enables designing and building virtual representations of physical systems, has gained a lot of attention and has become a significant research topic among academicians and practitioners in the industry. Due to its potential, promising benefits, and broad application domains and areas, e.g., system diagnosing, forecasting, predictive maintenance, visualization, etc., it can decrease the cost of designing, prototyping, implementing, and operating physical systems. However, in order to design an efficient, durable, and reliable Digital Twin for the CPS system under study, an efficient and intelligent approach for modeling and embodying the physical elements as digital representations has to be used and followed to achieve such deployment and integration. The adopted approach is crucial and must be able to tackle the challenges of the CPS system, especially if the target system is distributed, autonomous, and heterogeneous and comprise many actors, stakeholders, and components that interact and communicate with each other and with the environment. In this book chapter, at a high level of abstraction, we aim to introduce an architecture for realizing and building a Digital Twin based on the intelligent agent paradigm by utilizing the capabilities and features of agent-based modeling (ABM) and multi-agent systems (MAS) technologies. The agent paradigm has enabled us to deal with the complex environment of the CPS and the integration process with the Digital Twin, and thus, we have been able to tackle several challenges, such as the distributed architecture and the autonomous nature of the system, as well as dealing with the heterogeneity of the system’s components. In the actual implementation, we represented the different physical components of the physical space as autonomous physical agents and mapped them to digital agents in the digital space. Physical and digital agents communicate, interact, and collaborate with each other in the system to solve particular problems assigned to them and act toward achieving the system’s objectives. |
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Language
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English
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Source (book)
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Digital twin driven intelligent systems and emerging metaverse
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Publication
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Singapore
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Springer
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2023
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ISBN
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978-981-99-0252-1
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DOI
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10.1007/978-981-99-0252-1_3
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Volume/pages
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p. 65-99
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Full text (Publisher's DOI)
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Full text (publisher's version - intranet only)
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