包含基于多智能体建模的政策数字孪生设计
Design of policy digital twins incorporating multi-level agent based modelling
浏览论文内容
中文总结 AI 辅助
探讨政策数字孪生应用缓慢问题，阐述利用基于多智能体建模纳入人类行为影响，介绍针对政策用例的数字孪生设计方法，以助力英国市议会实施能源转型政策为例，展示设计成果并讨论其有效性及对未来架构的影响。
中文摘要 AI 辅助
数字孪生在诸多行业得以应用以辅助更好决策。各级政策制定者虽希望将其融入工作流程，但应用进展缓慢。本文探讨政策数字孪生相关关键问题，及其与其他领域数字孪生的异同。阐述如何在政策数字孪生中运用基于多智能体建模纳入人类行为对结果的影响，这常被忽视。还介绍了针对政策用例的数字孪生设计，并以一个包含多智能体建模的政策数字孪生设计为例，助力英国市议会实施能源转型政策。在描述设计方法和所得数字孪生后，讨论了二者有效性及不同情境对数字孪生未来架构的影响。
英文摘要
Digital twins are used across many industries to enable better decision making. However, while policy makers at all levels (including city, national and supranational scales) have expressed a desire to integrate digital twins into their workflows, this adoption has been slow to materialise. In this paper, we discuss the key issues associated with policy digital twins, and the ways in which they differ from, and are similar to, their counterparts in other areas. We describe how multi-level agent based modelling can be used within policy digital twins to include the effects of human behaviours on outcomes; an aspect that is often largely overlooked. We also describe how digital twins can be designed for policy use cases, and present as a case study the design of a policy digital twin incorporating multi-level agent based modelling to aid a UK city council (local authority) in delivering energy transition policy. After describing both the design method used and the resultant digital twin, we discuss the effectiveness of both, as well as how the ways in which different contexts might shape the future architecture of the digital twin.
