Multi-Agent Collaboration in Real-World Problem Solving
Multi-agent collaboration (MAC) systems have transitioned from concept to practice, moving from single models to collaborative intelligence.
Initially, MAC systems seemed like science fiction, involving autonomous digital entities that negotiate, share context, and solve problems together.
Over the past year, MAC has been applied to various real-world problems, including:
- Climate-adaptive agriculture
- Supply chain management
- Disaster management
MAC systems consist of multiple intelligent agents, each designed to perform specific tasks, coordinating through shared protocols or goals.
Instead of one large model trying to understand and solve everything, MAC systems decompose work into specialized parts, with agents communicating and adapting dynamically.
Author's summary: MAC redefines problem solving.
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