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A workshop convened experts from industry and academia to discuss the principled development of agent-based simulations. Key outcomes focused on establishing best practices for future simulation research and application.

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Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Simulation Modeling

Background:

  • Agent-based simulations are increasingly used across various scientific domains.
  • Developing future agent-based simulations requires a principled approach to ensure robust and reliable outcomes.
  • A workshop was organized to address challenges and opportunities in this field.

Purpose of the Study:

  • To bring together diverse stakeholders to discuss the principled development of agent-based simulations.
  • To identify key challenges and propose solutions for future simulation research.
  • To foster collaboration and establish best practices in the field.

Main Methods:

  • A workshop was held at Keele University in May 2019.
  • Participants included experts from industry and academia with varied domain interests and career stages.
  • Discussions and outcomes were summarized in this report.

Main Results:

  • Consensus was reached on the importance of principled development in agent-based simulations.
  • Key areas for future research and development were identified.
  • Recommendations for best practices were formulated.

Conclusions:

  • The workshop successfully facilitated a dialogue on advancing agent-based simulation development.
  • The identified outcomes and recommendations provide a roadmap for future research and application.
  • Collaboration between academia and industry is crucial for the advancement of simulation science.