The best of most worlds: shared objects for multilingual simulation
Proceedings of the 9th Workshop on Parallel/High-Performance Object-Oriented Scientific Computing
The global financial markets: an ultra-large-scale systems perspective
Proceedings of the 17th Monterey conference on Large-Scale Complex IT Systems: development, operation and management
Proceedings of the Modelling of the Physical World Workshop
Simulating upgrades of complex systems: The case of Free and Open Source Software
Information and Software Technology
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In studying complex systems, agent-based simulations offer the possibility of directly modelling components in an environment. However, the scientific value of agent-based simulations has been limited by inadequate scientific rigour. The paper focuses on agent-based simulations that are used in biological and bio-medical research. Starting from a review of best practice in simulation engineering, the paper identifies some of the key activities in developing complex systems simulations that support scientific research, and how these contribute to the essential development of mutual trust among developers and scientists. Examples from the authors' own experience illustrate how a range of studies have manifested these key activities, and identifies some successes and problems encountered.