Scholarlink

This paper explores the potential of digital twins to model various aspects of society, driven by the rise of powerful digital tools. Digital twins, dynamic virtual models of real-world entities, offer insights and predictions for decision-making by integrating data sources and utilizing graphs and maps for visualization. Digital twins can also employ stress testing to identify vulnerabilities in the system. Building upon a generic prototype of a digital twin of society, the paper introduces artificial intelligence (AI) enhancements and advanced stress testing capabilities. The authors showcase the application of these concepts in the context of the labor market. The goal is to build digital twins to assist governmental agencies and policymakers in comprehending complex models, make informed decisions, address societal challenges, enhance resilience, and enable proactive measures for stability.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

AI and Stress Testing for a Digital Twin of Society

  • 章节

  • 发表日期：

    2025年

查看全文
  • Stephan Brunow,
  • Susanna Burkert,
  • Alina Chircu,
  • Christian Czarnecki,
  • Jana Erthel,
  • I-Sah Hsieh,
  • Arpit Jain,
  • Stefan Latuski,
  • Joanna Pomaskow,
  • Kanav Sharma,
  • Oliver Szymanski,
  • Anton Zaiatc,
  • Eldar Sultanow

摘要

This paper explores the potential of digital twins to model various aspects of society, driven by the rise of powerful digital tools. Digital twins, dynamic virtual models of real-world entities, offer insights and predictions for decision-making by integrating data sources and utilizing graphs and maps for visualization. Digital twins can also employ stress testing to identify vulnerabilities in the system. Building upon a generic prototype of a digital twin of society, the paper introduces artificial intelligence (AI) enhancements and advanced stress testing capabilities. The authors showcase the application of these concepts in the context of the labor market. The goal is to build digital twins to assist governmental agencies and policymakers in comprehending complex models, make informed decisions, address societal challenges, enhance resilience, and enable proactive measures for stability.