AI Multi-Agent
Adjective · AI & Machine Learning
Definitions
Describing an AI system in which multiple agents or agent-like components cooperate, specialize, or divide work rather than relying on a single monolithic assistant. AI multi-agent designs are used for planning, tool use, verification, and task decomposition, though they add coordination complexity.
In plain English: Using multiple cooperating AI agents instead of just one.
Example: "The research prototype used an AI multi-agent pattern where one agent planned, another retrieved evidence, and a third checked the final answer for policy violations."
Related Terms
- Scaffold
- AI Agent Framework
- AI Orchestrator
- Agentic Loop
- AI Chain
- Chinese Room
- Compute Optimal
- Decoder Only
- Fill-in-the-Middle
- Generalist Agent
- Large Action Model
- Large Behavior Model
- Long-Horizon Planning
- Low-Rank Adaptation
- Multi-Agent
- Multi-Agent Framework
- Neural Compression
- On-Policy
- Out-of-Distribution
- Scaffold AI
- Seed AI
- Sleeper Agent
- Superposition
- Tool Agent
- Utility Function AI