Explainable Agentic AI for Autonomous Task Allocation in Distributed Multi-Agent Systems

Multi-agent systems (MAS) in real-world applications We are seeing use of distributed multi-agent systems (MAS) in real-world applications like logistics, robotics, IoT, and complex enterprise workflows. But these systems struggle with task assignment. When many intelligent agents work together, the system must decide who does what and why. As these systems take on tasks, there’s an increasing need for them to be understandable, trustworthy, and accountable for their autonomous choices.