Educational ALife Ecosystem v1.0

🌟 Educational ALife Ecosystem v1.0 — First Public Release

🚀 Welcome to the first official release of the Educational ALife Ecosystem — an artificial life simulation where Learning Objects mutate, differentiate, specialize, and evolve inside a semantic universe!

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✨ New Features

• 📚 Ontology Extractor Module
  • Extracts major topics and subtopics from any textbook.
• 🌱 Stem Cell Generator
  • Slices large textbooks into coherent mini Learning Objects (LOs) ready for evolution.
• 🧬 Evolution Engine
  • Mutates and differentiates LOs based on Ontology constraints.
• 📈 Fitness Evaluator
  • Scores LOs based on semantic richness, pedagogical differentiation, and structural health.
• 📦 Full Modular Project Structure
  • Organized like AVIDA, ready for professional and scientific development.
• 🛠 Installable Python Package (setup.py)
• 🧪 Sphinx Documentation System Setup
• 🌍 Sample Mini Textbook (Learning Theories)
• 🚀 Full Simulation Example Script

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📚 Instructions

• Install using environment.yml (Conda) or requirements.txt (Pip).
• Full setup instructions and simulation examples included in README.md.
• Documentation can be generated locally with Sphinx.

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🔮 Coming Soon

• ReadTheDocs online documentation
• Visualization modules (Evolution Trees, Fitness Growth, Ontology Graphs)
• Educational metabolic rewards (deep knowledge specialization scoring)
• Semantic drift modeling
• Open collaboration opportunities!

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📝 License

This project is licensed under the MIT License.

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"Grow the seeds of knowledge into thriving forests of learning." 🌳