# GRA-Swarm v3 GRA-Swarm v3 is a research prototype exploring **emergent collective intelligence**through a swarm of agents coordinated by a **GRA (General Resonance Algorithm)** mechanism. The core hypothesis:Intelligence can emerge from many simple agents if useful states resonate and amplify. ## Key Concepts Agents → generate states or ideasGRA resonance → detect alignment between agentsSwarm evolution → select and mutate high resonance agentsEmergent intelligence → collective reasoning patterns ## Features - Multi-agent swarm system- Resonance-based selection- Evolutionary improvement- Visualization tools- LLM swarm reasoning prototype ## Repository Structure agents/ – agent implementations gra/ – resonance mechanisms swarm/ – swarm coordination memory/ – collective memory simulations/ – swarm experiments visualization/ – swarm visual demos examples/ – LLM swarm reasoning experiments/ – emergent intelligence tests ## Run a simulation python simulations/swarm_optimization.py ## Goal Investigate whether **resonant swarm intelligence** can produce emergent reasoning systems.