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 that negotiate, share context, and solve 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, that coordinate through shared protocols or goals.
- Decompose work into specialized parts
- Agents communicate and adapt dynamically
Instead of one large model trying to understand and solve everything, MAC systems coordinate through shared protocols or goals.
Author's summary: MAC redefines problem solving with collaborative intelligence.