Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved]
The interest in defining and implementing Digital Twins (DT) is at the forefront of today’s product organizations. The evolution of increasingly complex systems requires that their information be organized and managed via digital twins. In addition, the development of Artificial Intelligence (AI) w...
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| Format: | Article |
| Language: | English |
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F1000 Research Ltd
2022-05-01
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| Series: | Digital Twin |
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| Online Access: | https://digitaltwin1.org/articles/2-8/v1 |
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| _version_ | 1846126254244233216 |
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| author | Michael Grieves |
| author_facet | Michael Grieves |
| author_sort | Michael Grieves |
| collection | DOAJ |
| description | The interest in defining and implementing Digital Twins (DT) is at the forefront of today’s product organizations. The evolution of increasingly complex systems requires that their information be organized and managed via digital twins. In addition, the development of Artificial Intelligence (AI) will result in an increasing degree of system complexity. These complex systems will exhibit true emergent behavior as AIs modify system aspects as the result of goal seeking and learning. DTs will need to increase in capability, becoming intelligent in their approach. This article presents a discussion on how these Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems. |
| format | Article |
| id | doaj-art-0ac509804b104ee4bcbcec49e88824e5 |
| institution | Kabale University |
| issn | 2752-5783 |
| language | English |
| publishDate | 2022-05-01 |
| publisher | F1000 Research Ltd |
| record_format | Article |
| series | Digital Twin |
| spelling | doaj-art-0ac509804b104ee4bcbcec49e88824e52024-12-13T01:00:22ZengF1000 Research LtdDigital Twin2752-57832022-05-01218853Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved]Michael Grieves0https://orcid.org/0000-0003-0322-343XDigital Twin Institute, Cocoa Beach, FL, 32931, USAThe interest in defining and implementing Digital Twins (DT) is at the forefront of today’s product organizations. The evolution of increasingly complex systems requires that their information be organized and managed via digital twins. In addition, the development of Artificial Intelligence (AI) will result in an increasing degree of system complexity. These complex systems will exhibit true emergent behavior as AIs modify system aspects as the result of goal seeking and learning. DTs will need to increase in capability, becoming intelligent in their approach. This article presents a discussion on how these Intelligent Digital Twins (IDTs) will evolve and assist in developing and managing complex systems.https://digitaltwin1.org/articles/2-8/v1Digital Twin DT Intelligent Digital Twin IDT Physical Twin IoTeng |
| spellingShingle | Michael Grieves Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] Digital Twin Digital Twin DT Intelligent Digital Twin IDT Physical Twin IoT eng |
| title | Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] |
| title_full | Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] |
| title_fullStr | Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] |
| title_full_unstemmed | Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] |
| title_short | Intelligent digital twins and the development and management of complex systems [version 1; peer review: 4 approved] |
| title_sort | intelligent digital twins and the development and management of complex systems version 1 peer review 4 approved |
| topic | Digital Twin DT Intelligent Digital Twin IDT Physical Twin IoT eng |
| url | https://digitaltwin1.org/articles/2-8/v1 |
| work_keys_str_mv | AT michaelgrieves intelligentdigitaltwinsandthedevelopmentandmanagementofcomplexsystemsversion1peerreview4approved |