Multi-agent collaboration (MAC) systems have transitioned from concept to practice, shifting from single models to collaborative intelligence.
MAC systems comprise multiple intelligent agents, each designed for specific tasks, coordinating through shared protocols or goals.
It’s a group of autonomous digital entities that negotiate, share context, and solve problems together.
MAC systems decompose work into specialized parts, with agents communicating and adapting dynamically, emerging as a promising architectural pattern for addressing complex challenges.
Author's summary: MAC redefines problem solving with collaborative intelligence.