Artificial intelligence in modeling and simulation

Abstract

Modeling and simulation (M&S) serve as essential tools in various scientific and engineering domains, enabling the representation of complex systems and processes without the constraints of physical experimentation [1]. These tools have evolved significantly with the integration of artificial intelligence (AI), which offers advanced capabilities in essential aspects of M&S such as optimization [2,3], data analysis [4,5], and verification and validation [6]. AI’s capacity to enhance M&S is demonstrated in applications ranging from engineering [7] and physics [8,9] to social sciences [10] and biology [11], providing novel approaches to problem-solving and system understanding.