Simulation and Artificial Intelligence for Sustainable Industrial and Service Systems
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: closed (3 May 2024) | Viewed by 1355
Special Issue Editor
Interests: modeling and simulation; artificial intelligence; digital twin; sustainable system management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The model‐based paradigm is recognized as a powerful approach to sustainable systems engineering in many disciplines, and modeling and simulation (M&S) provides a core mechanism to such an approach. From another perspective, data-driven approaches are gaining tremendous interest in AI-based decision-making at all stages of the sustainable systems life cycle. Ideally, both should go hand in hand—specifically in the context of Industry 5.0 sustainability, where sustainable modern systems are not only studied from a technological perspective, but also considering human-centric aspects.
M&S and AI can be endogenously integrated, where AI is embedded within M&S (e.g., simulation agents are empowered with learning capabilities) or M&S is embedded within AI (e.g., learning algorithms are trained with simulation data instead of real-world data), or in an exogenous integration (where AI and M&S are coupled as interacting black boxes). From that perspective, computational, physical, and cognitive dimensions can be involved.
This Special Issue seeks original research articles and reviews on the most recent advances in sustainable methodologies, practices, tools, and applications to M&S and AI hybridization, in the context of Industry 5.0 sustainability.
We welcome contributions on, but not limited to, the following:
- Integrated AI and simulation approaches and applications;
- Simulation and AI for sustainability and resilience;
- Digital twin engineering;
- Digital-twin-driven system analysis, design, control, and optimization.
We look forward to receiving your contributions.
Prof. Dr. Mamadou K. Traoré
Guest Editor
Manuscript Submission Information
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Keywords
- modelling and simulation
- sustainable artificial intelligence
- digital twin
- sustainable intelligent systems
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