User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations.

User experiences using FLAME: A Case study modelling conflict in large enterprise system implementations.
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DOI:
10.1016/j.simpat.2020.102196
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发表时间:
2021-01
影响因子:
4.2
通讯作者:
Williams RA
Williams RA
中科院分区:
计算机科学2区
文献类型:
--
作者:
Williams RA

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现在考虑的系统的复杂性(无论是生物的,物理的,化学的,社会的,等等),再加上在现实世界中的实验的技术性和系统动力学的非线性性质,意味着计算建模是不可或缺的,在追求进一步我们对复杂系统的理解。基于代理的建模和仿真正在迅速增加其普及,部分原因是非计算机科学界对该范式的赞赏增加,但也由于使用该方法的建模框架的可用性,复杂性和数量的增加。灵活的大规模基于代理的建模环境(FLAME)是一个相对较新的列表。FLAME从一开始就被设计和开发来处理大规模的仿真,并确保仿真代码在不同规模的计算和不同的操作系统之间是可移植的。在这项研究中,我们报告我们的经验时,使用FLAME大型多合作伙伴企业系统实现,作为一个复杂的动态社会系统的一个例子,冲突的发展和传播的模型。我们相信FLAME是经验丰富的建模人员的绝佳选择,他们将能够充分利用它所提供的功能,并能够诊断和解决遇到的任何限制。相反,因为FLAME需要大量的开发工具,沿着统计分析脚本的开发,我们认为它不适合新手建模者,他们可能更适合使用图形用户界面驱动的框架,直到他们的建模经验和编程能力增加。
The complexity of systems now under consideration (be they biological, physical, chemical, social, etc), together with the technicalities of experimentation in the real-world and the non-linear nature of system dynamics, means that computational modelling is indispensible in the pursuit of furthering our understanding of complex systems. Agent-based modelling and simulation is rapidly increasing in its popularity, in part due to the increased appreciation of the paradigm by the non-computer science community, but also due to the increase in the usability, sophistication and number of modelling frameworks that use the approach. The Flexible Large-scale Agent-based Modelling Environment (FLAME) is a relatively recent addition to the list. FLAME was designed and developed from the outset to deal with massive simulations, and to ensure that the simulation code is portable across different scales of computing and across different operating systems. In this study, we report our experiences when using FLAME to model the development and propagation of conflict within large multi-partner enterprise system implementations, which acts as an example of a complex dynamical social system. We believe FLAME is an excellent choice for experienced modellers, who will be able to fully harness the capabilities that it has to offer, and also be competent in diagnosing and solving any limitations that are encountered. Conversely, because FLAME requires considerable development of instrumentation tools, along with development of statistical analysis scripts, we believe that it is not suitable for the novice modeller, who may be better suited to using a graphical user interface driven framework until their experience with modelling and competence in programming increases.
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