Agent Collaboration Patterns

Multi-agent systems are networks of autonomous agents that collaborate to achieve shared or individual goals. Unlike single agents that act independe

Agents must communicate to coordinate their activities. This lesson covers the protocols and patterns that enable reliable, efficient agent commun

In multi-agent systems, work must be distributed among agents. Task delegation involves deciding which agent should handle which task based on their capab

Even with clear communication and task delegation, agents must coordinate their activities to achieve common goals. This lesson covers patterns for

In multi-agent systems, conflicts inevitably arise when agents have competing goals, need the same resource, or disagree on the best solution. This le

When multiple agents work together, they often need to share and update state. Managing shared state correctly is challenging in distributed systems. This le

When multiple agents must make a group decision, they need consensus algorithms to reach agreement despite potential disagreements and failures. This

Swarm intelligence emerges when many simple agents follow local rules and interact locally, creating intelligent global behavior without central contro

This capstone requires building a multi-agent system that solves a complex problem requiring agent collaboration. You'll demonstrate mastery of