As Artificial Intelligence (AI) grows more sophisticated, multi-agent systems (MAS) have emerged as a powerful paradigm for solving complex, distributed problems. In these systems, multiple AI agents interact, cooperate, and sometimes compete to achieve individual or collective goals. Applications span diverse domains, from autonomous vehicle fleets and smart grids to supply chain optimization and multi-robot coordination. Building resilient multi-agent systems presents unique challenges: ensuring robustness against failures, enabling seamless cooperation, and maintaining system efficiency in…