Q-Memetic AI DocumentationΒΆ
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.
π What is Q-Memetic AI?ΒΆ
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."
𧬠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
π 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)
π Documentation StructureΒΆ
-
:material-rocket-launch: Getting Started
Installation, quick start guide, and basic examples to get you up and running.
-
:material-book-open: User Guide
Comprehensive guides for using Q-Memetic AI in your projects and research.
-
:material-brain: Theory & Research
Deep dive into the science behind memetic computing and quantum-inspired algorithms.
-
:material-code-brackets: API Reference
Complete API documentation with examples and technical details.
π 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.
π Use CasesΒΆ
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
π¬ 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]
π€ Community & SupportΒΆ
- GitHub: krish567366/Q-Memetic-AI
- Documentation: This site
- License Server: krish567366.github.io/license-server
- Issues: GitHub Issues
π― Next StepsΒΆ
Ready to explore the quantum realm of ideas?
Helping ideas think themselves into reality.