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Special Issue: Simulation in the AI Era: Advancing Complex Problem Solving Preface
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DOI：10.1142/S0217595925020026.png)
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Abstract
En 中文
The increasing complexity and uncertainty in engineering, manufacturing, supply chain, and digital systems call for advanced simulation and artificial intelligence (AI) methodologies to support robust decision-making. This special issue presents 10 studies that demonstrate innovative approaches for addressing stochasticity, high-dimensional interdependencies, and dynamic environments. The featured works showcase advances in AI-enhanced simulation, data-driven optimization, multi-agent coordination, and risk-aware decision frameworks. Collectively, they emphasize computational efficiency and practical applicability, while pointing toward emerging research directions such as interpretable AI, scalable distributed systems, and real-time digital twins.
Keywords:
Simulation
artificial intelligence
complex systems
decision making
Journal
A
IF:
1
Papers:
58
Citations:
0
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