Multi-Agent Collaboration: Redefining Problem Solving
From concept to practice, multi-agent collaboration (MAC) is shifting from single models to collaborative intelligence.
Initially, MAC systems seemed like science fiction, featuring autonomous digital entities that negotiate, share context, and solve problems together.
Over the past year, MAC has become more practical, with applications in real-world problems such as:
- Climate-adaptive agriculture
- Supply chain management
- Disaster management
MAC systems consist of multiple intelligent agents, each designed for 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 is redefining problem solving.