▎AI & Multi-Agent
Stigmergy
Indirect coordination where agents communicate by modifying or reading traces in the environment or shared state.
Definition
Stigmergy is indirect coordination where agents communicate by modifying or reading traces in the environment or shared state. In defense applications, it reduces explicit messaging requirements for swarms and robotic teams. The hard part is stale traces, spoofed markers, and weak interpretability, especially when systems are deployed across contested links, coalition boundaries, and mixed human-machine teams. KhanBMS treats it as a lightweight coordination pattern for disconnected KhanBMS cells, tying the concept back to modular command, edge execution, and auditable authority.
Reference attributes
- Layer
- coordination mechanism
- Operational value
- Reduces explicit messaging requirements for swarms and robotic teams
- Primary risk
- Stale traces, spoofed markers, and weak interpretability
- KhanBMS role
- A lightweight coordination pattern for disconnected KhanBMS cells
Related terms
- Swarm IntelligenceCollective behavior emerging from many local agents rather than a single central controller.
- Agent MemoryPersistent short-term and long-term context stores used by agents to remember facts, goals, actions, and lessons.
- Blackboard ArchitectureAI system pattern where independent specialists read and write to a shared problem workspace.
- Mobile Ad-Hoc Network (MANET)Self-forming, self-healing IP network where every node is also a router.
#swarm#communications#edge
