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A Methodology for DSML-Assisted Participatory Agent-Based Enterprise Modelling

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The Practice of Enterprise Modeling (PoEM 2022)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 456))

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Abstract

Participatory agent-based modelling (ABM) can help bring the benefits of simulation to domain users by actively involving stakeholders in the development process. Collaboration in enterprise modelling can improve the model developer’s understanding of the domain and therefore improve the effectiveness of domain analysis. Where many agent-oriented methodologies focus on the development of one-off models, domain-specific modelling languages (DSML) can improve the re-use of concepts identified in domain analysis across multiple case studies and expose modelling concepts in domain-appropriate terms, increasing model accessibility. To realise the benefits of DSMLs we need to understand how DSML development can be incorporated into typical agent-based modelling. In this paper we discuss existing methodologies for ABM development and DSML development, and we discuss the benefits merging the two can bring. We present a methodology for DSML-assisted participatory agent-based modelling, and support the methodology with a case study—a modelling exercise conducted in collaboration with a hospital emergency department on the topic of infection control for COVID-19 and Influenza.

T. Godfrey—Supported by the KCL funded Centre for Doctoral Training (CDT) in Data-Driven Health.

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Author information

Authors and Affiliations

  1. Department of Informatics, King’s College London, Bush House, Strand Campus, 30, Aldwych, London, WC2B 4BG, UK

    Thomas Godfrey, Simon Miles & Steffen Zschaler

  2. Guy’s and St Thomas’ NHS Foundation Trust, Westminster Bridge Rd, London, SE1 7EH, UK

    Rahul Batra, Sam Douthwaite & Jonathan Edgeworth

Authors
  1. Thomas Godfrey
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  2. Rahul Batra
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  3. Sam Douthwaite
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  4. Jonathan Edgeworth
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  6. Steffen Zschaler
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Correspondence to Thomas Godfrey .

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Editors and Affiliations

  1. Middlesex University, London, UK

    Balbir S. Barn

  2. Rostock University, Rostock, Germany

    Kurt Sandkuhl

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Godfrey, T., Batra, R., Douthwaite, S., Edgeworth, J., Miles, S., Zschaler, S. (2022). A Methodology for DSML-Assisted Participatory Agent-Based Enterprise Modelling. In: Barn, B.S., Sandkuhl, K. (eds) The Practice of Enterprise Modeling. PoEM 2022. Lecture Notes in Business Information Processing, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-031-21488-2_13

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  • DOI: https://doi.org/10.1007/978-3-031-21488-2_13

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