The 4th International Workshop on Smart Simulation and Modelling for Complex Systems
This is an incremental workshop summary focusing on improving simulation methods for complex systems across various domains.
The paper addresses the challenge of simulating complex systems with many interacting components, which traditional computational approaches struggle with due to nonlinearity and distributed resources, and highlights the potential of smart systems like multi-agent systems for this task.
Computer-based modelling and simulation have become useful tools to facilitate humans to understand systems in different domains, 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 modelled by using traditional computational approaches due to complex relationships among system components, distributed features of resources, and dynamics of environments. Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modelling and simulating complex systems.