The 4th International Workshop on Smart Simulation and Modelling for Complex Systems

TL;DR

This paper discusses the role of smart systems, especially multi-agent systems, in advancing the modelling and simulation of complex systems across various scientific and engineering domains.

Contribution

It highlights recent developments and challenges in using intelligent simulation techniques for complex systems, emphasizing the potential of smart systems like multi-agent models.

Findings

Smart systems enhance the modeling of complex interactions.

Multi-agent systems offer scalable solutions for complex simulations.

Challenges include handling system complexity and dynamic environments.

Abstract

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.