A new computing paradigm: Pattern Consciousness. Moving beyond data processing to meaningful pattern recognition. I-Ching mathematics meets modern AI.
Seeing patterns, not just processing data
Pattern Consciousness is a new computing paradigm that shifts from data processing to meaningful pattern recognition. Instead of asking "what data matches?", we ask "what patterns are meaningful here?"
This repository implements the core engine for pattern-conscious systems, drawing from:
- 3,000 years of I-Ching pattern mathematics
- Modern AI and complex systems research
- Future Starfleet-inspired technological vision
# Install
pip install pattern-conscious
# Basic usage
from pattern_conscious import PatternCore
core = PatternCore()
context = {
'time': 'morning',
'situation': 'decision_point',
'question': 'What pattern is emerging?'
}
hexagram = core.recognize(context)
transformations = core.predict_transformations(hexagram)
print(f"Pattern: {hexagram}")
print(f"Natural evolution: {transformations}")