Multi Agent
In plain terms
Systems where multiple AI agents collaborate or compete.
Going deeper
Multi-agent systems have several autonomous agents interacting, dividing tasks, negotiating, or coordinating toward goals. Intelligence emerges from interaction.
Under the hood
Coordination, communication, and conflict resolution are key; increasingly used to orchestrate LLM agents.
Examples
Agent orchestration, simulations, LLM agent teams, distributed AI, games.
Think of it like...
Like a team of specialists each handling part of a project and coordinating.