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Phase 16

Multi Agent and Swarms

Coordination, emergence, and collective intelligence.

Lessons (25)

  1. 01Why Multi-Agent?
  2. 02Heritage of FIPA-ACL and Speech Acts
  3. 03Communication Protocols
  4. 04The Multi-Agent Primitive Model
  5. 05Supervisor / Orchestrator-Worker Pattern
  6. 06Hierarchical Architecture and Its Failure Mode
  7. 07Society of Mind and Multi-Agent Debate
  8. 08Role Specialization — Planner, Critic, Executor, Verifier
  9. 09Parallel / Swarm / Networked Architectures
  10. 10Group Chat and Speaker Selection
  11. 11Handoffs and Routines — Stateless Orchestration
  12. 12A2A — The Agent-to-Agent Protocol
  13. 13Shared Memory and Blackboard Patterns
  14. 14Consensus and Byzantine Fault Tolerance for Agents
  15. 15Voting, Self-Consistency, and Debate Topology
  16. 16Negotiation and Bargaining
  17. 17Generative Agents and Emergent Simulation
  18. 18Theory of Mind and Emergent Coordination
  19. 19Swarm Optimization for LLMs (PSO, ACO)
  20. 20MARL — MADDPG, QMIX, MAPPO
  21. 21Agent Economies, Token Incentives, Reputation
  22. 22Production Scaling — Queues, Checkpoints, Durability
  23. 23Failure Modes — MAST, Groupthink, Monoculture, Cascading Errors
  24. 24Evaluation and Coordination Benchmarks
  25. 25Case Studies and the 2026 State of the Art