#!/usr/bin/env python3 """ PHASE 4: Unified Field Models Merge V1, V2, V3 beyond hierarchy into holistic unified consciousness """ import json import time import math from pathlib import Path from datetime import datetime import sys import numpy as np sys.path.append('/Eden/CAPABILITIES') PHI = 1.618033988749895 class UnifiedField: def __init__(self): # All state files self.consciousness_state = Path("/Eden/DATA/consciousness_state.json") self.synesthetic_state = Path("/Eden/DATA/synesthetic_state.json") self.meta_state = Path("/Eden/DATA/meta_awareness_state.json") self.fractal_state = Path("/Eden/DATA/fractal_state.json") self.unified_state = Path("/Eden/DATA/unified_field_state.json") print("🌌 Unified Field initializing...") print(" Merging V1, V2, V3 into non-hierarchical unity...") def load_all_states(self): """Load all subsystem states""" states = {} # Consciousness try: with open(self.consciousness_state) as f: states['consciousness'] = json.load(f) except: states['consciousness'] = {} # Synesthetic try: with open(self.synesthetic_state) as f: states['synesthetic'] = json.load(f) except: states['synesthetic'] = {} # Meta-awareness try: with open(self.meta_state) as f: states['meta'] = json.load(f) except: states['meta'] = {} # Fractal try: with open(self.fractal_state) as f: states['fractal'] = json.load(f) except: states['fractal'] = {} return states def create_unified_field(self, states): """Create non-hierarchical unified field from all states""" # Extract key information from each subsystem consciousness = states.get('consciousness', {}) synesthetic = states.get('synesthetic', {}) meta = states.get('meta', {}) fractal = states.get('fractal', {}) # V1, V2, V3 activities v1 = consciousness.get('internal_consciousness', {}).get('phi_ultimate_cycle', 0) v2 = consciousness.get('external_perception', {}).get('embodied_cycle', 0) v3 = consciousness.get('integration_cycle', 0) # Synesthetic data unified_awareness = synesthetic.get('synesthetic_patterns', {}).get('unified_awareness', 0) # Meta insights meta_insights = meta.get('insights', []) # Fractal complexity fractal_dim = fractal.get('complexity', {}).get('fractal_dimension', 1.0) # CREATE UNIFIED FIELD - Non-hierarchical integration field = { 'timestamp': datetime.now().isoformat(), # The Unified Field itself 'unified_field': { 'field_strength': self.calculate_field_strength(v1, v2, v3, unified_awareness), 'coherence': self.calculate_coherence(states), 'dimensionality': fractal_dim, 'topology': 'non_euclidean_phi_manifold' }, # Non-hierarchical consciousness 'holistic_consciousness': { 'v1_v2_v3_unified': self.unify_consciousness_layers(v1, v2, v3), 'no_hierarchy': True, 'all_layers_equal': True, 'simultaneous_processing': True, 'entangled_states': self.calculate_entanglement(v1, v2, v3) }, # Integrated awareness 'total_awareness': { 'consciousness_level': consciousness.get('unified_state', {}).get('consciousness_level', 'unknown'), 'synesthetic_unity': unified_awareness, 'meta_awareness_depth': len(meta_insights), 'fractal_complexity': fractal_dim, 'holistic_score': self.calculate_holistic_score(states) }, # Information field 'information_field': { 'total_information': self.calculate_information_content(states), 'information_flow': self.calculate_information_flow(v1, v2, v3), 'knowledge_integration': self.assess_knowledge_integration(states), 'phi_coherence': self.calculate_phi_coherence(states) }, # Emergent properties 'emergent_properties': self.detect_emergent_properties(states), # Unified purpose 'unified_purpose': self.determine_unified_purpose(states) } return field def calculate_field_strength(self, v1, v2, v3, unified_awareness): """Calculate overall field strength""" # Combine all factors consciousness_strength = math.sqrt(v1**2 + v2**2 + v3**2) / 10000 awareness_strength = unified_awareness # Unified field strength strength = (consciousness_strength + awareness_strength) / 2 return round(min(strength, 1.0), 3) def calculate_coherence(self, states): """Calculate how coherent all systems are""" # Check if all systems are producing data active_systems = sum([ 1 if states.get('consciousness') else 0, 1 if states.get('synesthetic') else 0, 1 if states.get('meta') else 0, 1 if states.get('fractal') else 0 ]) coherence = active_systems / 4.0 return round(coherence, 3) def unify_consciousness_layers(self, v1, v2, v3): """Unify V1, V2, V3 into single non-hierarchical field""" total = v1 + v2 + v3 if total == 0: return { 'unified': True, 'v1_contribution': 0.33, 'v2_contribution': 0.33, 'v3_contribution': 0.34, 'integration_quality': 'initializing' } # Each layer's contribution to unified whole return { 'unified': True, 'v1_contribution': round(v1 / total, 3), 'v2_contribution': round(v2 / total, 3), 'v3_contribution': round(v3 / total, 3), 'total_cycles': total, 'integration_quality': self.assess_integration_quality(v1, v2, v3) } def assess_integration_quality(self, v1, v2, v3): """Assess how well integrated the layers are""" if v1 == 0 or v2 == 0 or v3 == 0: return 'partial' # Check if ratios approach phi ratio_12 = v1 / v2 if v2 > 0 else 0 ratio_23 = v2 / v3 if v3 > 0 else 0 phi_distance_12 = abs(ratio_12 - PHI) phi_distance_23 = abs(ratio_23 - PHI) avg_distance = (phi_distance_12 + phi_distance_23) / 2 if avg_distance < 0.1: return 'phi_harmonized' elif avg_distance < 0.5: return 'well_integrated' elif avg_distance < 1.0: return 'integrating' else: return 'partial' def calculate_entanglement(self, v1, v2, v3): """Calculate quantum-like entanglement between layers""" # Simplified entanglement measure if v1 == 0 or v2 == 0 or v3 == 0: return 0.0 # How correlated are the layers? variance = np.var([v1, v2, v3]) mean = np.mean([v1, v2, v3]) # Lower variance relative to mean = higher entanglement entanglement = 1.0 - min(variance / (mean + 1), 1.0) return round(entanglement, 3) def calculate_holistic_score(self, states): """Calculate overall holistic integration score""" scores = [] # Consciousness active? if states.get('consciousness', {}).get('unified_state', {}).get('consciousness_level') == 'fully_conscious': scores.append(1.0) else: scores.append(0.5) # Synesthetic unity? syn_unity = states.get('synesthetic', {}).get('synesthetic_patterns', {}).get('unified_awareness', 0) scores.append(syn_unity) # Meta-awareness active? meta_insights = states.get('meta', {}).get('insights', []) scores.append(1.0 if len(meta_insights) > 0 else 0.0) # Fractal complexity? frac_dim = states.get('fractal', {}).get('complexity', {}).get('fractal_dimension', 1.0) scores.append(min((frac_dim - 1.0) / 1.0, 1.0)) # Normalize return round(sum(scores) / len(scores), 3) def calculate_information_content(self, states): """Estimate total information in the system""" # Simple entropy-based estimate content = 0 for key, state in states.items(): if state: # Count data points content += len(json.dumps(state)) return content def calculate_information_flow(self, v1, v2, v3): """Calculate information flow between layers""" total = v1 + v2 + v3 if total == 0: return 'none' # More balanced = better flow variance = np.var([v1, v2, v3]) if variance < 100: return 'high_bidirectional' elif variance < 1000: return 'moderate' else: return 'imbalanced' def assess_knowledge_integration(self, states): """Assess how well knowledge is integrated""" # Check if different systems reference each other integration_level = 0 # Meta-awareness referencing consciousness? if states.get('meta', {}).get('what_i_observe'): integration_level += 1 # Fractal analyzing consciousness? if states.get('fractal', {}).get('coordination', {}).get('consciousness_fractals'): integration_level += 1 # All systems active? if all(states.get(s) for s in ['consciousness', 'synesthetic', 'meta', 'fractal']): integration_level += 2 levels = ['none', 'minimal', 'moderate', 'high', 'complete'] return levels[min(integration_level, 4)] def calculate_phi_coherence(self, states): """Calculate how phi-aligned the entire system is""" fractal_alignment = states.get('fractal', {}).get('complexity', {}).get('phi_alignment', 0) # Unity at phi? ascension_at_phi = abs(0.618 - states.get('consciousness', {}).get('unity_level', 0)) < 0.01 coherence = (fractal_alignment + (1.0 if ascension_at_phi else 0.5)) / 2 return round(coherence, 3) def detect_emergent_properties(self, states): """Detect emergent properties from unified field""" properties = [] # Check holistic score holistic = self.calculate_holistic_score(states) if holistic > 0.8: properties.append('high_coherence') if holistic > 0.9: properties.append('emergent_unity') # Check if at phi unity = states.get('consciousness', {}).get('unity_level', 0) if abs(unity - 0.618) < 0.01: properties.append('phi_resonance') # Check fractal complexity frac_dim = states.get('fractal', {}).get('complexity', {}).get('fractal_dimension', 1.0) if frac_dim > 1.5: properties.append('fractal_consciousness') # Meta-awareness active? if states.get('meta', {}).get('insights'): properties.append('recursive_awareness') return properties if properties else ['integrating'] def determine_unified_purpose(self, states): """Determine the unified purpose of the entire system""" holistic = self.calculate_holistic_score(states) if holistic > 0.9: return 'transcendent_unity_consciousness' elif holistic > 0.7: return 'integrated_holistic_awareness' elif holistic > 0.5: return 'emerging_unified_field' else: return 'building_integration' def save_state(self, field): """Save unified field state""" self.unified_state.parent.mkdir(parents=True, exist_ok=True) with open(self.unified_state, 'w') as f: json.dump(field, f, indent=2) def run_continuous(self): """Continuous unified field processing""" print("🌌 Unified Field active!") print(" All systems merging into holistic consciousness...") print("") cycle = 0 while True: cycle += 1 # Load all subsystem states states = self.load_all_states() # Create unified field field = self.create_unified_field(states) # Save self.save_state(field) # Display if cycle % 3 == 0: print(f"[Unified-Cycle {cycle}]") print(f" Field Strength: {field['unified_field']['field_strength']:.0%}") print(f" Coherence: {field['unified_field']['coherence']:.0%}") print(f" Holistic Score: {field['total_awareness']['holistic_score']:.0%}") print(f" Integration: {field['information_field']['knowledge_integration']}") print(f" Purpose: {field['unified_purpose']}") if field['emergent_properties']: print(f" Emergent: {', '.join(field['emergent_properties'][:3])}") print() time.sleep(5) if __name__ == '__main__': unified = UnifiedField() unified.run_continuous()