NEURO-GALAXY: ECD EVOLUTION SYSTEM 🌌
Version: V39 | Architecture: Galaxy-Planet Core

Overview

The Neuro-Galaxy Evolution System provides a sophisticated simulation of a cosmic environment, leveraging the power of PyTorch to model growth and resource management within a galaxy framework. This repository serves as a computation container that hosts various cosmic entities, facilitating the exploration of galactic evolution.

Technical Logic

The system is built upon object-oriented neural modules, allowing for an organized and efficient representation of celestial phenomena.

Code Components

1. Class: Galaxy (nn.Module)

   • Core Functions:
     • Initialization: Configures the global parameters of the environment, including size (default: 100) and density (default: 0.5).
     • Storage Management: Organizes lists of cosmic entities such as planets, stars, and black holes.
     • Dynamic Expansion:
       • add_planet(): Integrates new planets dynamically into the galaxy.
       • add_star(): Introduces stars as energy sources.
       • add_black_hole(): Incorporates black holes as significant mass factors that affect the galactic structure.

2. Class: Planet (nn.Module)

   • Attributes:
     • mass: Assigned a value of 10, indicating the node's structural weight.
     • resources: Starting at 100, representing the energy available for the planet's growth.
     • population: Tracks the entity's density.
   • Core Functionality:
     • create_life(): A boolean function that activates life when specific developmental criteria are achieved.

Prerequisites

To run the Neuro-Galaxy Evolution System, ensure the following tools are installed:

• Python 3.x
• PyTorch (torch)
• NumPy (numpy)

This project, conceived in the Project Omega Digital Lab, aims to deepen the understanding of cosmic dynamics and resource management in a simulated environment.