Click here to read the article.

Multiagent systems (MAS) are AI frameworks using multiple independent agents to solve complex problems.

Their decentralized nature offers advantages in dynamic or large-scale environments, improving adaptability and resilience.

Various industries are exploring MAS applications, from logistics and healthcare to energy and robotics, but challenges remain in development complexity, coordination, and ethical considerations.

Successful implementation requires careful planning, simulation, cross-functional teams, and a phased approach. Leading technology companies are driving innovation in this field.