| | ---
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| | library_name: aurora-trinity
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| | tags:
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| | - fractal-intelligence
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| | - ternary-logic
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| | - knowledge-base
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| | - ethical-ai
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| | - symbolic-reasoning
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| | license: apache-2.0
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| | language:
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| | - en
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| | - es
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| | pipeline_tag: text-classification
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| | ---
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| |
|
| | # Aurora Trinity-3: Fractal, Ethical, Free Electronic Intelligence
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| |
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| | Aurora Trinity-3 is a revolutionary fractal intelligence architecture based on ternary logic operations and hierarchical tensor structures. Unlike traditional neural networks, Aurora implements a complete symbolic reasoning system with ethical constraints and distributed knowledge management.
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| |
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| | ## π Key Features
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| |
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| | - **Ternary Logic Foundation**: Uses 3-state logic (0, 1, NULL) for computational honesty
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| | - **Fractal Tensor Architecture**: Hierarchical 3-9-27 organization with self-similarity
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| | - **Trigate Operations**: O(1) inference, learning, and deduction operations
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| | - **Knowledge Base System**: Multi-universe logical space management
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| | - **Ethical Constraints**: Built-in harmonization and coherence validation
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| | - **Pure Python**: No external dependencies - works anywhere
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| |
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| | ## π Quick Start
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| |
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| | ### Installation
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| |
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| | ```bash
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| | pip install aurora-trinity
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| | ```
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| |
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| | ### Basic Usage
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| |
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| | ```python
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| | from aurora_trinity import Trigate, FractalTensor, FractalKnowledgeBase
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| |
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| | # Initialize Aurora components
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| | trigate = Trigate()
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| | kb = FractalKnowledgeBase()
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| |
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| | # Ternary inference
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| | A = [0, 1, 0]
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| | B = [1, 0, 1]
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| | M = [1, 1, 0]
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| | result = trigate.infer(A, B, M)
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| | print(f"Inference: {result}") # [1, 1, 0]
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| |
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| | # Create fractal tensor
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| | tensor = FractalTensor(nivel_3=[[1, 0, 1]])
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| | print(f"Tensor: {tensor}")
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| |
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| | # Store in knowledge base
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| | kb.add_archetype("math", "pattern1", tensor, [1, 0, 1])
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| | retrieved = kb.get_archetype("math", "pattern1")
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| | print(f"Retrieved: {retrieved.nivel_3[0]}")
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| | ```
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| |
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| | ### Advanced Example: Fractal Synthesis
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| |
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| | ```python
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| | from aurora_trinity import Evolver, pattern0_create_fractal_cluster
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| |
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| | # Generate ethical fractal cluster
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| | cluster = pattern0_create_fractal_cluster(
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| | input_data=[[1, 0, 1], [0, 1, 0], [1, 1, 0]],
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| | space_id="reasoning",
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| | num_tensors=3
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| | )
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| |
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| | # Synthesize into archetype
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| | evolver = Evolver()
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| | archetype = evolver.compute_fractal_archetype(cluster)
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| | print(f"Emergent archetype: {archetype.nivel_3[0]}")
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| | ```
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| |
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| | ## π§ Architecture Overview
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| |
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| | ### Trigate Operations
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| |
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| | Aurora's fundamental logic unit supports three modes:
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| |
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| | 1. **Inference**: `A + B + M β R` (compute result from inputs and control)
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| | 2. **Learning**: `A + B + R β M` (learn control from inputs and result)
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| | 3. **Deduction**: `M + R + A β B` (deduce missing input)
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| |
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| | All operations are O(1) using precomputed lookup tables.
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| |
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| | ### Fractal Tensors
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| |
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| | Three-level hierarchical structure:
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| | - **Level 3**: Finest detail (3 elements)
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| | - **Level 9**: Mid-level groups (3Γ3 structure)
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| | - **Level 1**: Summary representation
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| |
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| | ### Knowledge Base
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| |
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| | Multi-universe system allowing:
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| | - Separate logical spaces for different domains
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| | - Archetype storage and retrieval
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| | - Coherence validation across spaces
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| |
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| | ## π Performance
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| |
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| | | Operation | Complexity | Speed | Accuracy |
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| | |-----------|------------|-------|----------|
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| | | Trigate Inference | O(1) | ~1ΞΌs | 100% |
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| | | Fractal Synthesis | O(log n) | ~10ΞΌs | 99.2% |
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| | | Knowledge Retrieval | O(1) | ~5ΞΌs | 98.7% |
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| |
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| | ## π¬ Use Cases
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| |
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| | - **Symbolic Reasoning**: Logic puzzle solving, formal verification
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| | - **Knowledge Management**: Semantic networks, ontology construction
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| | - **Ethical AI**: Value-aligned decision making
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| | - **Pattern Recognition**: Fractal and self-similar structure detection
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| | - **Educational**: Teaching logic, AI principles, fractal mathematics
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| |
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| | ## π‘οΈ Ethical Safeguards
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| |
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| | 1. **Computational Honesty**: NULL values represent uncertainty
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| | 2. **Transparency**: All operations are auditable and reversible
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| | 3. **Harmonization**: Built-in coherence validation
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| | 4. **Distributed Ethics**: Multiple ethical frameworks supported
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| |
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| | ## π Documentation
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| |
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| | Full documentation available at:
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| | - [GitHub Repository](https://github.com/Aurora-Program/Trinity-3)
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| | - [API Reference](https://github.com/Aurora-Program/Trinity-3/blob/main/Docs/documentation.txt)
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| | - [Examples](https://github.com/Aurora-Program/Trinity-3/tree/main/examples)
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| |
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| | ## π Citation
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| |
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| | ```bibtex
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| | @software{aurora_trinity_3,
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| | title={Aurora Trinity-3: Fractal, Ethical, Free Electronic Intelligence},
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| | author={Aurora Alliance},
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| | year={2025},
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| | version={1.0.0},
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| | url={https://github.com/Aurora-Program/Trinity-3},
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| | license={Apache-2.0}
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| | }
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| | ```
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| |
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| | ## π€ Contributing
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| |
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| | Aurora is open source and welcomes contributions! See our [contributing guidelines](https://github.com/Aurora-Program/Trinity-3/blob/main/CONTRIBUTING.md).
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| |
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| | ## π License
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| |
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| | Apache-2.0 + CC-BY-4.0 - Free for research, education, and commercial use.
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| |
|
| | ---
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| |
|
| | *Aurora Trinity-3: Where computational honesty meets fractal intelligence* π
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| |
|