Al-enabled system simulation and modelling has become useful tools to facilitate humans to understand systems in different do-mains,such as physics,astrophysics,chemistry,biology,economics,engineering and social science.A complex system is featured with a large number of interacting components(agents,processes,etc.),whose aggregate activities are nonlinear and self-organized.Complex systems are hard to be simulated or mod-elled by using traditional computational approaches due to complex relationships among system components,distributed features of resources,and dynamics of environments.Meanwhile,agent and multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.
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