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Towards Developing Digital Twin Enabled Multi-Agent Systems

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Engineering Multi-Agent Systems (EMAS 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14378))

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Abstract

The Multi-Agent Systems (MASs) literature provides abstractions, techniques, and development platforms to design and implement the virtual environment within which agents operate. However, coupling such an environment with a physical counterpart is still cumbersome, as existing approaches deal with the issue in an ad-hoc way, without general purpose abstractions and methods. Recently, a new paradigm could complement the agent-oriented one to deal with digitalisation of physical environments in a more principled and interoperable way: the Digital Twin (DT). In this paper, we propose a first principled integration between MAS and DTs for MAS environment engineering.

Work partially supported by Italian PRIN “Fluidware” (N. 2017KRC7KT).

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Authors and Affiliations

  1. Department of Sciences and Methods of Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy

    Stefano Mariani & Marco Picone

  2. Department of Computer Science and Engineering, University of Bologna, Cesena, Italy

    Alessandro Ricci

Authors
  1. Stefano Mariani
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  2. Marco Picone
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  3. Alessandro Ricci
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Corresponding author

Correspondence to Stefano Mariani .

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Editors and Affiliations

  1. University of St.Gallen, St. Gallen, Switzerland

    Andrei Ciortea

  2. Utrecht University, Utrecht, The Netherlands

    Mehdi Dastani

  3. Zhejiang University, Hangzhou, China

    Jieting Luo

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Mariani, S., Picone, M., Ricci, A. (2023). Towards Developing Digital Twin Enabled Multi-Agent Systems. In: Ciortea, A., Dastani, M., Luo, J. (eds) Engineering Multi-Agent Systems. EMAS 2023. Lecture Notes in Computer Science(), vol 14378. Springer, Cham. https://doi.org/10.1007/978-3-031-48539-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-48539-8_12

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-031-48539-8

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