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Phase 16 · 25 lessons
Multi-Agent & Swarms
Coordination, emergence, and collective intelligence.
01Why Multi-Agent?Learn02Heritage of FIPA-ACL and Speech ActsLearn03Communication ProtocolsBuild04The Multi-Agent Primitive ModelLearn05Supervisor / Orchestrator-Worker PatternBuild06Hierarchical Architecture and Its Failure ModeLearn07Society of Mind and Multi-Agent DebateBuild08Role Specialization — Planner, Critic, Executor, VerifierBuild09Parallel / Swarm / Networked ArchitecturesBuild10Group Chat and Speaker SelectionBuild11Handoffs and Routines — Stateless OrchestrationBuild12A2A — The Agent-to-Agent ProtocolBuild13Shared Memory and Blackboard PatternsBuild14Consensus and Byzantine Fault Tolerance for AgentsBuild15Voting, Self-Consistency, and Debate TopologyBuild16Negotiation and BargainingBuild17Generative Agents and Emergent SimulationBuild18Theory of Mind and Emergent CoordinationBuild19Swarm Optimization for LLMs (PSO, ACO)Build20MARL — MADDPG, QMIX, MAPPOLearn21Agent Economies, Token Incentives, ReputationLearn22Production Scaling — Queues, Checkpoints, DurabilityBuild23Failure Modes — MAST, Groupthink, Monoculture, Cascading ErrorsLearn24Evaluation and Coordination BenchmarksLearn25Case Studies and the 2026 State of the ArtLearn