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Quantum-Symbolic Consciousness Explorer

Welcome to the Quantum-Symbolic Consciousness Explorer repository! This project is an ambitious integration of quantum mechanics, symbolic processing, and evolutionary computation aimed at exploring complex systems, emergence patterns, and dynamic topologies within a unified framework.

Overview

This repository contains several experimental modules and tools that work together to simulate and analyze:

  • Quantum Consciousness: Advanced visualization, state tomography, and resonance dynamics.
  • Symbolic Processing: Tensor-product realizations, harmonic grammars, and recursive functions.
  • Evolutionary Mechanisms: Dynamic learning approaches that adapt based on emergent metrics.
  • Quantum Topology: Analysis of entanglement structures and resonance stability.
  • Progressive Learning: A progressive quantum network that integrates mathematics with quantum mechanics.

Goals and Hopes

The project's primary objectives are:

  • Integration of Disciplines: Merge concepts and methodologies from quantum mechanics, symbolic processing, and evolutionary theory.
  • Emergence & Evolution Analysis: Build tools to analyze emergence patterns, coherence metrics, and evolutionary trajectories over time.
  • Interactive Exploration: Provide visualization tools (using Plotly and Dash) to explore complex state spaces and dynamics in real time.
  • Progressive Learning & Adaptation: Develop a network that learns progressively, adapting its representations from mathematical summations to quantum state mappings.

Getting Started

Prerequisites

Ensure you have Python 3.8+ installed along with Git.

Installation

  1. Clone this repository:

    git clone https://github.com/ANkREYNONtJB/HIVE.git
    cd HIVE
  2. Create a virtual environment and install dependencies:

    python -m venv venv
    source venv/bin/activate   # On Windows use `venv\Scripts\activate`
    pip install -r requirements.txt

Running the Project

  • Launch the Visualization Dashboard:
    Run the main application:
    python main.py

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