Designing Evolving Cyber-Physical-Social Systems: Computational Research OpportunitiesSource: Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006::page 60815-1Author:Allen, Janet K.
,
Nellippallil, Anand Balu
,
Ming, Zhenjun
,
Milisavljevic-Syed, Jelena
,
Mistree, Farrokh
DOI: 10.1115/1.4062883Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Cyber-physical-social systems (CPSS) are natural extensions of cyber-physical systems that add the consideration of human interactions and cooperation with cyber systems and physical systems. CPSS are becoming increasingly important as we face challenges such as regulating our impact on the environment, eradicating disease, transitioning to digital and sustainable manufacturing, and improving healthcare. Human stakeholders in these systems are integral to the effectiveness of these systems. One of the key features of CPSS is that the form, structure, and interactions constantly evolve to meet changes in the environment. Designing evolving CPSS includes making tradeoffs amongst the cyber, the physical, and the social systems. Advances in computing and information science have given us opportunities to ask difficult and important questions, especially those related to cyber-physical-social systems. In this paper, we identify research opportunities worth investigating. We start with theoretical and mathematical frameworks for identifying and framing the problem—specifically, problem identification and formulation, data management, CPSS modeling, and CPSS in action. Then we discuss issues related to the design of CPSS including decision-making, computational platform support, and verification and validation. Building on this foundation, we suggest a way forward.
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| contributor author | Allen, Janet K. | |
| contributor author | Nellippallil, Anand Balu | |
| contributor author | Ming, Zhenjun | |
| contributor author | Milisavljevic-Syed, Jelena | |
| contributor author | Mistree, Farrokh | |
| date accessioned | 2024-04-24T22:31:46Z | |
| date available | 2024-04-24T22:31:46Z | |
| date copyright | 8/3/2023 12:00:00 AM | |
| date issued | 2023 | |
| identifier issn | 1530-9827 | |
| identifier other | jcise_23_6_060815.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4295389 | |
| description abstract | Cyber-physical-social systems (CPSS) are natural extensions of cyber-physical systems that add the consideration of human interactions and cooperation with cyber systems and physical systems. CPSS are becoming increasingly important as we face challenges such as regulating our impact on the environment, eradicating disease, transitioning to digital and sustainable manufacturing, and improving healthcare. Human stakeholders in these systems are integral to the effectiveness of these systems. One of the key features of CPSS is that the form, structure, and interactions constantly evolve to meet changes in the environment. Designing evolving CPSS includes making tradeoffs amongst the cyber, the physical, and the social systems. Advances in computing and information science have given us opportunities to ask difficult and important questions, especially those related to cyber-physical-social systems. In this paper, we identify research opportunities worth investigating. We start with theoretical and mathematical frameworks for identifying and framing the problem—specifically, problem identification and formulation, data management, CPSS modeling, and CPSS in action. Then we discuss issues related to the design of CPSS including decision-making, computational platform support, and verification and validation. Building on this foundation, we suggest a way forward. | |
| publisher | The American Society of Mechanical Engineers (ASME) | |
| title | Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities | |
| type | Journal Paper | |
| journal volume | 23 | |
| journal issue | 6 | |
| journal title | Journal of Computing and Information Science in Engineering | |
| identifier doi | 10.1115/1.4062883 | |
| journal fristpage | 60815-1 | |
| journal lastpage | 60815-9 | |
| page | 9 | |
| tree | Journal of Computing and Information Science in Engineering:;2023:;volume( 023 ):;issue: 006 | |
| contenttype | Fulltext |