Design of policy digital twins incorporating multi-level agent based modelling
マルチレベルエージェントベースモデリングを組み込んだ政策デジタルツインの設計 (AI 翻訳)
Matt Tipuric, Alejandro Beltran, Nick Malleson, Dani Arribas-Bel, David Wagg
🤖 gxceed AI 要約
日本語
本論文は、政策デジタルツインの設計について、マルチレベルエージェントベースモデリングを用いて人間行動の影響を組み込む方法を提案する。英国の都市におけるエネルギー転換政策を事例に、デジタルツインの設計方法と有効性を示す。
English
This paper discusses the design of policy digital twins using multi-level agent-based modeling to incorporate human behavior effects. A case study is presented for a UK city council's energy transition policy, demonstrating the design method and effectiveness.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本の自治体でもエネルギー転換政策の立案にデジタルツインの活用が期待される。本論文の手法は、SSBJや有報とは直接関係ないが、政策シミュレーションの参考になる。
In the global GX context
The paper contributes to global energy transition policy by proposing digital twin designs that incorporate agent-based modeling. It offers a practical approach for local authorities to simulate policy impacts.
👥 読者別の含意
🔬研究者:Researchers in policy simulation and digital twin design will find the multi-level agent-based modeling methodology innovative.
🏢実務担当者:Local government planners and energy transition teams can use the case study approach to design their own policy digital twins.
🏛政策担当者:Policymakers at city level can learn how digital twins with behavioral modeling can improve decision-making for energy transition.
📄 Abstract（原文）
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.
🔗 Provenance — このレコードを発見したソース
- arXiv https://arxiv.org/abs/2607.13766first seen 2026-07-16 04:10:37
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