How multi-agent collaboration is redefining real-world problem solving

Multi-Agent Collaboration: Redefining Problem Solving

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, making it a promising architectural pattern for addressing complex challenges.

Author's summary: Multi-agent collaboration revolutionizes problem-solving.

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InfoWorld InfoWorld — 2025-11-05

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