Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Abstract: This paper presents an agent-based simulation model with cognitive elements, developed to explore strategies for managing complex projects under uncertainty. The model was implemented using ...

Abstract: The flourishing development of social media platforms based on cultivating user relationships to spread and share information has provided a breeding ground for cyberbullying. How to infer ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...

Introduction: In many countries, especially large developing nations like China, hierarchical healthcare systems face persistent structural challenges such as unbalanced resource allocation and ...

What if you could create your very own personal AI assistant—one that could research, analyze, and even interact with tools—all from scratch? It might sound like a task reserved for seasoned ...

One of the most pressing challenges to the continued deployment of nuclear energy systems is in the ultimate management and disposition of discharged fuel assemblies. While reprocessing and recovery ...

Introduction: This work presents an approach to collision avoidance in multi-agent systems (MAS) by integrating Conflict-Based Search (CBS) with Model Predictive Control (MPC), referred to as Conflict ...