Artificial Intelligence and System Simulation are two areas in computer science that are being used to model complex systems. Artificial intelligence programming methods permit more realistic and robust simulation models and help the user develop, run, and interpret simulation experiments. When designing a highly complex, systemically connected smart system, artificial intelligence can reduce time, cost, and errors.

The potential contributions of AI to the design and development of smart systems are being considered more widely. AI techniques can play a variety of roles in the simulation process for smart systems, including knowledge representation in a model, decision making within a simulation, rapid prototyping of models, data analysis of simulator-generated outputs, and model modification and maintenance.

This Special Issue aims to gather research on advanced methodologies, strategies, frameworks, architectures, and algorithms that can effectively be used in artificial intelligence for smart system simulation. Original research and review articles are welcome.

Potential topics include but are not limited to the following:

• Agent-based modelling and simulation for Smart Systems
• Smart System Network simulation and modelling using AI
• Environmental and ecosystem modelling and simulation for Smart Systems
• Social and economic simulation for Smart Systems
• AI modelling and simulation tools for Smart Systems
• Service integration of Smart Systems using AI
• Deep Learning for Smart System Simulation Processes