GRA-Swarm-Engine is an experimental research framework for **swarm-based collective intelligence** using a **GRA resonance principle**
Abstract
# GRA-Swarm-Engine GRA-Swarm-Engine is an experimental research framework for **swarm-based collective intelligence** using a **GRA resonance principle**. The system explores how intelligence can emerge from many interacting agents that generate hypotheses and reinforce resonant states. ## Core idea Agents generate candidate states → GRA resonance measures alignment → swarm amplifies useful structures → states evolve. This project contains: - Multi-agent swarm simulation- GRA resonance mechanism- Evolutionary swarm optimizer- LLM swarm example ## Architecture agents/ – agent definitions gra/ – resonance engine swarm/ – swarm coordination simulations/ – experiments examples/ – LLM swarm demos ## Quick start ```bashpython simulations/optimization.py``` ## Goal Explore emergent intelligence through collective reasoning systems.
Fields of Study & Subjects
Metaheuristic Optimization Algorithms Research
Modular Robots and Swarm Intelligence
Distributed Control Multi-Agent Systems
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 8 March 2026
- Language
- EN