Reflections on the Simulation of Complex Systems for Science
Reflections on the Simulation of Complex Systems for Science
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DOI：
10.1109/iceccs.2010.48
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发表时间：
2010-03
期刊：
影响因子：
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通讯作者：
Fiona A. C. Polack;P. Andrews;Teodor Ghetiu;Mark N. Read;S. Stepney;J. Timmis;Adam T. Sampson
中科院分区：
文献类型：
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作者：
Fiona A. C. Polack;P. Andrews;Teodor Ghetiu;Mark N. Read;S. Stepney;J. Timmis;Adam T. Sampson
在研究复杂系统时，基于代理的模拟提供了在环境中直接建模组件的可能性。然而，基于智能体的模拟的科学价值受到科学严谨性不足的限制。本文重点介绍了在生物和生物医学研究中使用的基于智能体的模拟。从对仿真工程最佳实践的回顾开始，本文确定了开发复杂系统仿真以支持科学研究的一些关键活动，以及这些活动如何有助于开发人员和科学家之间相互信任的基本发展。作者亲身经历的例子说明了一系列研究是如何体现这些关键活动的，并确定了一些成功和遇到的问题。
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.