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