#4707 Swarms as they Apply to AI
#4707 Swarms as they Apply to AI #4707 Describe how "swarms" can apply to AI and AI agents In AI and agentic systems, a swarm refers to a decentralized collective of autonomous agents operating under local rules or specialized objectives to solve complex problems through emergent intelligence . Unlike monolithic LLMs or rigid, centrally orchestrated workflows (like a single controller routing every subtask), swarm architectures distribute cognition, execution, and verification across many lightweight or specialized nodes. Core Architectural Archetypes Swarm concepts apply to AI across three distinct structural patterns: 1. Hierarchical & Dynamic Routing 2. Homogeneous Particle Swarms 3. Blackboard / Shared Memory [Coordinator/Router] (Agent) ↔ (Agent) [Shared State/Graph] / | \ ↕ ↕ ↗ ↑ ↖ [AgentA] [AgentB] [AgentC] (Age...