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Trustworthy agent-based simulation: the case for domain-specific modelling languages.

Steffen Zschaler1, Fiona A C Polack2

  • 1Department of Informatics, King's College London, London, UK.

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This study introduces a vision for engineering agent simulations using domain-specific modeling languages (DSMLs). This approach enhances the robustness, efficiency, and maintainability of complex system research.

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Area of Science:

  • Computer Science
  • Complex Systems Modeling

Background:

  • Agent-based simulation is crucial for studying complex systems across various scientific domains.
  • Developing robust, efficient, and maintainable agent-based simulations presents significant engineering challenges.

Purpose of the Study:

  • To present a vision for engineering agent simulations.
  • To introduce a family of domain-specific modeling languages (DSMLs) for simulation development.
  • To improve the robustness, efficiency, and maintainability of agent-based simulations.

Main Methods:

  • Proposing a vision integrating core software engineering, validation, and simulation experimentation.
  • Developing a family of domain-specific modeling languages (DSMLs).
  • Relating the vision to principled simulation examples.

Main Results:

  • The proposed DSMLs aim to enhance the robustness, efficiency, and maintainability of agent-based simulations.
  • The approach supports bi-directional transparency and traceability from domain understanding to simulation results.
  • Demonstrates improved fitness for purpose in simulation development.

Conclusions:

  • The vision offers a principled approach to engineering agent simulations.
  • DSMLs can significantly improve the quality and reliability of agent-based models.
  • Enhanced transparency and traceability are key benefits for simulation research.