Multi-Agent
Discover how multiple agents collaborate. Learn multi-agent communication, coordination, task allocation, and emergent behaviors.
Prerequisites
Complete Level 5: Frameworks
🎯What You'll Learn
- ✓Multi-agent communication protocols
- ✓Coordination and collaboration strategies
- ✓Agent roles and task allocation
- ✓Emergent behaviors in multi-agent systems
- ✓Consensus and voting mechanisms
💪Skills You'll Gain
🏆Learning Outcomes
📖Interactive Modules (10)
Introduction to Multi-Agent Systems
Introduction to multi-agent systems where multiple AI agents collaborate on tasks.
Agent Communication Protocols
Learn agent communication protocols, message passing, and shared understanding.
Agent Coordination Patterns
Master coordination patterns: delegation, collaboration, competition, and negotiation.
Hierarchical Agent Systems
Build hierarchical agent systems with managers delegating tasks to specialized workers.
Collaborative Agent Teams
Design collaborative agent teams that work together toward shared goals.
Agent Roles & Specialization
Define agent roles and specializations for efficient task distribution in teams.
Consensus in Multi-Agent Systems
Implement consensus mechanisms for multi-agent decision-making and agreement.
Agent Negotiation
Learn agent negotiation strategies for resource allocation and conflict resolution.
Swarm Intelligence
Explore swarm intelligence, emergent behavior from simple agent interactions.
Multi-Agent Simulator
Simulate multi-agent systems and observe emergent behaviors interactively.