ORCHESTRATING MULTI-AGENT AI FOR COMPLEX TASKS

Successfully executing multi-agent AI systems for complex problems necessitates a sophisticated coordination strategy. Each actor within the system must interact effectively to achieve a shared goal. This requires careful design of the interaction platform, coupled with robust methods for planning. Challenges arise in fields such as fault-tolerance