A two-level neurodynamic approach for heterogeneous networked game under event-triggered quantized mechanism

Key Points

• The neurodynamic approach enhances cooperation in heterogeneous networks, influencing game outcomes.
• This method improved efficiency by 35% in simulations involving diverse networked systems.
• Assessment using game theory demonstrates marked improvement through event-triggered quantized mechanisms.
• Implications highlight the potential for optimizing multi-agent systems in real-world applications.