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Q-Memetic AI DocumentationΒΆ

PyPI - Version PyPI Downloads Python 3.8+ License: Commercial Docs

Welcome to the Q-Memetic AI documentation! This quantum-inspired memetic computing system represents the next frontier in artificial intelligence, combining evolutionary algorithms, quantum entanglement concepts, and cognitive modeling to create a living ecosystem of evolving ideas.

🌟 What is Q-Memetic AI?¢

Q-Memetic AI is a revolutionary system that treats ideas (memes) as computational units that can:

  • Evolve using genetic algorithms and LLM-powered mutations
  • Entangle across distributed systems using quantum-inspired correlation
  • Diffuse through personalized cognitive models and federated learning
  • Visualize as interactive mind maps of the global noosphere

Mission Statement

"Not just an algorithm. A mind-layer for civilization."

🧬 Core Concepts¢

Memetic UnitsΒΆ

Memes in Q-Memetic AI are not just text - they are high-dimensional vectors containing:

  • Content: The idea itself (text, multimodal data)
  • Intent: Purpose and meaning vectors
  • Fitness: Evolutionary quality scores
  • Metadata: Author, generation, propagation history

Quantum EntanglementΒΆ

Ideas don't exist in isolation. Q-Memetic AI models how concepts become entangled through:

  • Semantic similarity relationships
  • Attention-weighted correlations
  • Historical interaction patterns
  • Quantum-inspired probability networks

Cognitive AdaptationΒΆ

Each user has a unique cognitive fingerprint that influences how memes:

  • Are perceived and adapted
  • Propagate through social networks
  • Evolve based on personal preferences
  • Get filtered for relevance and safety

πŸš€ Quick ExampleΒΆ

from qmemetic_ai import MemeticEngine

# Initialize the engine
engine = MemeticEngine(license_key="your-key")

# Create a meme
meme = engine.create_meme(
    content="The future is quantum",
    author="researcher",
    domain="technology"
)

# Evolve it over 5 generations
evolved_memes = engine.evolve(meme, generations=5)

# Create entanglement network
network = engine.entangle(evolved_memes)

# Visualize the noosphere
viz_path = engine.visualize_noosphere(network)

πŸ“š Documentation StructureΒΆ

πŸ” LicensingΒΆ

Q-Memetic AI uses the QuantumMeta License Server for advanced feature protection:

Tier Features Price
Core Basic evolution, visualization Free
Pro Entanglement, quantum walks, federation $29/month
Enterprise Multimodal, custom plugins, unlimited scale $299/month

Research License

Academic researchers can request special research licenses with extended features.

Get Your License

🌍 Use Cases¢

Research & AcademiaΒΆ

  • Study memetic evolution patterns
  • Model information propagation
  • Analyze cognitive biases
  • Simulate cultural evolution

Content CreationΒΆ

  • Generate evolved marketing messages
  • Create viral content variations
  • Personalize communication
  • Optimize message spread

AI DevelopmentΒΆ

  • Train better language models
  • Improve recommendation systems
  • Build cognitive architectures
  • Design emergent AI systems

Social AnalysisΒΆ

  • Track idea propagation
  • Identify influential concepts
  • Model opinion dynamics
  • Predict viral trends

πŸ”¬ Research FoundationΒΆ

Q-Memetic AI is built on solid scientific foundations:

graph TD
    A[Memetic Theory] --> D[Q-Memetic AI]
    B[Quantum Computing] --> D
    C[Cognitive Science] --> D
    D --> E[Evolutionary Algorithms]
    D --> F[Federated Learning]
    D --> G[Network Science]
    D --> H[Visualization]

🀝 Community & Support¢

🎯 Next Steps¢

Ready to explore the quantum realm of ideas?

  1. Install Q-Memetic AI
  2. Try the Quick Start
  3. Explore Examples
  4. Read the Theory

Helping ideas think themselves into reality.