Federated Digital Twins as an Enabling Technology for Collaborative Decision-Making-Reference-Cited by-同舟云学术

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Federated Digital Twins as an Enabling Technology for Collaborative Decision-Making

Published:2024-06-24 Issue: Volume: Page:67-68
ISSN:
Container-title:Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
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Author:

Vergara Christian Roberto¹^ORCID,Theodoropoulos Georgios²^ORCID,Bahsoon Rami³^ORCID,Yanez Wendy³^ORCID,Tziritas Nikos⁴^ORCID

Affiliation:

1. Dept. of Computer Science and Engineering, Southern University of Science and Technology, China and University of Birmingham, United Kingdom

2. Southern University of Science and Technology, China

3. University of Birmingham, United Kingdom

4. University of Thessaly, Greece

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3615979.3662152

Reference12 articles.

1. Digital Twins for Dynamic Management of Blockchain Systems

2. Forbes. [n. d.]. Digital Twin Technology Has The Potential To Radically Disrupt Healthcare. https://www.forbes.com/sites/saibala/2023/12/22/digital-twin-technology-has-the-potential-to-radically-disrupt-healthcare/?sh=4ffd3b51735f Accessed on Feb 15 2024.

3. A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics

4. Tianmeng Hu, Biao Luo, Chunhua Yang, and Tingwen Huang. 2023. MO-MIX: Multi-Objective Multi-Agent Cooperative Decision-Making With Deep Reinforcement Learning. IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).

5. Web of Digital Twins

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