Report on Workshop: Planning the Future of Agent Simulation

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.