GRA-Swarm-Engine is an experimental research framework for **swarm-based collective intelligence** using a **GRA resonance principle**

Read full text
Authors: oleg bitsoev
Cited by: 0

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