Multi-Agent Collaboration: Redefining Problem Solving
Multi-agent collaboration (MAC) systems have transitioned from concept to practice, moving from single models to collaborative intelligence.
MAC involves a group of autonomous digital entities negotiating, sharing context, and solving problems together, with applications in climate-adaptive agriculture, supply chain management, and disaster management.
How MAC Systems Work
MAC systems consist of multiple intelligent agents, each designed to perform specific tasks, coordinating through shared protocols or goals, decomposing work into specialized parts and communicating dynamically.
It’s slowly emerging as one of the most promising architectural patterns for addressing complex and distributed challenges in the real world.
Author's summary: MAC is revolutionizing problem solving with collaborative intelligence.