Multi-agent AI Agent

A Multi-agent AI Agent is an AI agent that operates within a collaborative system (to achieve shared goals through agent interaction and collective intelligence).

• Context:
  • It can (typically) coordinate Agent Actions through communication protocols.
  • It can (typically) share Information with peer agents.
  • It can (typically) participate in collective decision making.
  • It can (often) specialize in specific tasks within a larger system.
  • It can (often) negotiate Resources with other agents.
  • ...
  • It can range from being a Cooperative Multi-agent System to being a Competitive Multi-agent System, depending on its interaction model.
  • It can range from being a Simple Agent Network to being a Complex Swarm System, depending on its collaboration complexity.
  • ...
• Examples:
  • Swarm Robotic Systems, such as:
    • Search and Rescue Swarms for area exploration.
    • Construction Robot Teams for collaborative building.
  • Distributed AI Systems, such as:
    • Scientific Analysis Networks for data processing.
    • Trading Agent Networks for market operation.
  • ...
• Counter-Examples:
  • Single-agent AI Agents, which operate independently.
  • Standalone Systems, which lack agent interaction.
  • Isolated Processes, which avoid external communication.
• See: Swarm Intelligence, Distributed AI, Collaborative System, Agent Network.

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