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A Simulator for Continuous Agent-Based Modelling

机译:基于连续Agent的模拟器

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摘要

This paper describes a simulation environment that can be used to integrate population-level dynamics with those occurring at an individual, or agent-based, level. The benefit of this approach is that individual agent behaviour may be mapped at a detailed level, using differential equations, and aggregated over the entire population in order to determine population-level dynamics. Furthermore, individual agents can interact with one another, in terms of a social network structure. The environment is firmly grounded in the system dynamics approach, and, unlike conventional agent-based simulation environments, programming is not required in order to specify agent interactions and behaviours. The approach is validated by using a case study based on market dynamics. The overall benefits of the approach are summarised, and future work discussed.
机译:本文介绍了一种模拟环境,可用于将人口级别的动态与个体或基于代理级别的动态进行集成。这种方法的好处是,可以使用微分方程在单个级别上详细映射个体行为,然后将其汇总到整个群体中以确定群体级别的动态。此外,就社交网络结构而言,各个代理可以相互交互。该环境牢固地植根于系统动力学方法中,并且与传统的基于代理的模拟环境不同,不需要编程来指定代理的交互和行为。通过使用基于市场动态的案例研究验证了该方法。总结了该方法的整体优势,并讨论了未来的工作。

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