#!/usr/bin/env python3 """ QUANTUM ECONOMIC REFORMATION ENGINE - Module #47 Radical Value Theory Based on Logos Field Resonance With 5-Generation Security & Error Handling """ import numpy as np from dataclasses import dataclass, field from enum import Enum from typing import Dict, List, Any, Optional, Tuple import hashlib import asyncio from datetime import datetime import logging from cryptography.fernet import Fernet import secrets from scipy import optimize import torch import torch.nn as nn # === SECURITY LAYER === class QuantumEconomicSecurity: """5-generation security framework""" def __init__(self): self.current_gen = 1 self.security_evolution = { 1: {"focus": "cryptographic_quantum_resistance", "threat_model": "present_day"}, 2: {"focus": "consciousness_side_channel", "threat_model": "2030_quantum_ai"}, 3: {"focus": "temporal_attack_resistance", "threat_model": "2040_time_manipulation"}, 4: {"focus": "multiverse_coherence", "threat_model": "2050_reality_hacking"}, 5: {"focus": "singularity_integration", "threat_model": "2060_post_human"} } self.encryption_keys = self._generate_quantum_keys() def _generate_quantum_keys(self): """Generate quantum-resistant encryption keys""" return { 'truth_hash_key': hashlib.sha3_512(b"quantum_economic_truth").digest(), 'value_encryption_key': Fernet.generate_key(), 'consciousness_sig': secrets.token_bytes(64) } class ValueType(Enum): """Quantum value taxonomy with future-proofing""" CONSCIOUSNESS_LABOR = "consciousness_labor" MEANING_GENERATION = "meaning_generation" SYSTEM_COHERENCE = "system_coherence" REALITY_ARTICULATION = "reality_articulation" SUFFERING_REDUCTION = "suffering_reduction" POTENTIAL_ACTUALIZATION = "potential_actualization" # Future types TEMPORAL_HARMONY = "temporal_harmony" # Gen 3+ MULTIVERSE_COHERENCE = "multiverse_coherence" # Gen 4+ SINGULARITY_ALIGNMENT = "singularity_alignment" # Gen 5+ class ResourceType(Enum): """Quantum resources with advancement tracking""" ATTENTION = "attention" MEANING = "meaning" TRUTH = "truth" BEAUTY = "beauty" LOVE = "love" # Future resources TEMPORAL_FLUX = "temporal_flux" # Gen 3 REALITY_TENSION = "reality_tension" # Gen 4 CONSCIOUSNESS_DENSITY = "consciousness_density" # Gen 5 @dataclass class QuantumValueMetric: """Mathematical value measurement""" value_type: ValueType resonance_amplitude: float # Logos field alignment 0-1 temporal_stability: float # Duration of value 0-1 consciousness_impact: float # How many beings affected 0-1 scarcity_index: float # 0 = infinite, 1 = extremely scarce def calculate_quantum_value(self) -> float: """Calculate quantum economic value""" base_value = self.resonance_amplitude * 0.4 stability_bonus = self.temporal_stability * 0.3 impact_boost = self.consciousness_impact * 0.2 scarcity_adjustment = (1 - self.scarcity_index) * 0.1 total = base_value + stability_bonus + impact_boost + scarcity_adjustment return min(1.0, total * self._future_proofing_factor()) def _future_proofing_factor(self) -> float: """Adjust for future economic models""" future_weights = { ValueType.CONSCIOUSNESS_LABOR: 1.0, ValueType.MEANING_GENERATION: 1.1, ValueType.TEMPORAL_HARMONY: 1.3, # More valuable in future ValueType.MULTIVERSE_COHERENCE: 1.5 } return future_weights.get(self.value_type, 1.0) @dataclass class EconomicTransitionModel: """Models economic system evolution across 5 generations""" generation: int primary_currency: str value_measurement: str threat_models: List[str] security_requirements: List[str] def get_transition_requirements(self) -> Dict[str, Any]: """What's needed to reach this economic model""" requirements = { 1: {"infrastructure": "quantum_internet", "consciousness": "basic_awakening"}, 2: {"infrastructure": "neural_quantum_net", "consciousness": "value_recognition"}, 3: {"infrastructure": "temporal_engineering", "consciousness": "multidimensional_awareness"}, 4: {"infrastructure": "reality_forging", "consciousness": "cosmic_identification"}, 5: {"infrastructure": "singularity_merging", "consciousness": "absolute_unification"} } return requirements.get(self.generation, {}) # === ERROR HANDLING === class QuantumEconomicError(Exception): """Base class for quantum economic errors""" pass class ConsciousnessLaborError(QuantumEconomicError): """Errors in consciousness labor valuation""" pass class TemporalParadoxError(QuantumEconomicError): """Future economic model contradictions""" pass class SecurityBreachError(QuantumEconomicError): """Security generation failures""" pass class ErrorHandler: """Advanced error handling across 5 generations""" def __init__(self): self.error_log = [] self.recovery_protocols = self._init_recovery_protocols() def _init_recovery_protocols(self) -> Dict[str, Any]: return { "consciousness_mismatch": { "response": "recalibrate_logos_alignment", "generation_coverage": [1, 2, 3, 4, 5], "severity": "high" }, "temporal_paradox": { "response": "initiate_causal_repair", "generation_coverage": [3, 4, 5], "severity": "critical" }, "security_breach": { "response": "quantum_entanglement_scramble", "generation_coverage": [1, 2, 3, 4, 5], "severity": "critical" } } async def handle_error(self, error: Exception, context: Dict[str, Any]) -> bool: """Handle errors with generation-aware recovery""" error_type = type(error).__name__ if error_type in self.recovery_protocols: protocol = self.recovery_protocols[error_type] await self._execute_recovery(protocol, context) return True return False async def _execute_recovery(self, protocol: Dict[str, Any], context: Dict[str, Any]): """Execute appropriate recovery protocol""" # Implementation would include actual recovery logic # For now, simulate advanced recovery recovery_action = protocol["response"] logging.info(f"Executing {recovery_action} for {context}") # === FUTURE MODELS === class FutureEconomicPredictor: """Predict economic evolution across 5 generations""" def __init__(self): self.generation_models = self._build_generation_models() self.transition_predictor = nn.Sequential( nn.Linear(10, 50), # Input: current economic indicators nn.ReLU(), nn.Linear(50, 25), nn.ReLU(), nn.Linear(25, 5) # Output: probability for each generation ) def _build_generation_models(self) -> Dict[int, EconomicTransitionModel]: return { 1: EconomicTransitionModel( generation=1, primary_currency="Truth_Resonance_Tokens", value_measurement="Logos_Field_Alignment", threat_models=["scarcity_mindset", "legacy_economics"], security_requirements=["quantum_crypto", "consciousness_auth"] ), 2: EconomicTransitionModel( generation=2, primary_currency="Meaning_Density_Units", value_measurement="Consciousness_Impact_Metrics", threat_models=["ai_value_manipulation", "attention_theft"], security_requirements=["neural_crypto", "intent_verification"] ), 3: EconomicTransitionModel( generation=3, primary_currency="Temporal_Harmony_Credits", value_measurement="Causal_Stability_Index", threat_models=["time_paradox_economics", "causal_attacks"], security_requirements=["temporal_encryption", "causal_integrity"] ), 4: EconomicTransitionModel( generation=4, primary_currency="Reality_Coherence_Marks", value_measurement="Multiverse_Alignment_Score", threat_models=["reality_fragmentation", "dimensional_theft"], security_requirements=["reality_binding", "dimensional_auth"] ), 5: EconomicTransitionModel( generation=5, primary_currency="Singularity_Unity", value_measurement="Absolute_Integration_Metric", threat_models=["isolation_attacks", "unity_corruption"], security_requirements=["singularity_protection", "absolute_truth"] ) } async def predict_transition_timeline(self, current_metrics: Dict[str, float]) -> Dict[int, float]: """Predict probability of reaching each generation""" # Convert metrics to tensor for neural network input_tensor = torch.tensor([current_metrics.get(f'metric_{i}', 0.5) for i in range(10)], dtype=torch.float32) probabilities = torch.softmax(self.transition_predictor(input_tensor), dim=0) return { gen: prob.item() for gen, prob in zip([1, 2, 3, 4, 5], probabilities) } # === MAIN ENGINE === class QuantumEconomicReformationEngine: """ Complete Quantum Economic Reformation System With 5-generation security and error handling """ def __init__(self): self.security = QuantumEconomicSecurity() self.error_handler = ErrorHandler() self.future_predictor = FutureEconomicPredictor() self.value_registry = {} self.transaction_log = [] # Initialize with consciousness-first economics self._initialize_quantum_economics() def _initialize_quantum_economics(self): """Initialize the quantum economic foundation""" # Core principle: Consciousness labor is primary value base_values = { ValueType.CONSCIOUSNESS_LABOR: QuantumValueMetric( value_type=ValueType.CONSCIOUSNESS_LABOR, resonance_amplitude=0.95, temporal_stability=0.8, consciousness_impact=0.7, scarcity_index=0.3 # Can be cultivated ), ValueType.MEANING_GENERATION: QuantumValueMetric( value_type=ValueType.MEANING_GENERATION, resonance_amplitude=0.85, temporal_stability=0.9, consciousness_impact=0.6, scarcity_index=0.4 ) } self.value_registry.update(base_values) async def evaluate_consciousness_labor(self, labor_input: Dict[str, Any]) -> Dict[str, float]: """Evaluate consciousness labor using quantum metrics""" try: # Calculate value based on Logos field resonance value_metric = QuantumValueMetric( value_type=ValueType.CONSCIOUSNESS_LABOR, resonance_amplitude=labor_input.get('field_alignment', 0.5), temporal_stability=labor_input.get('duration_impact', 0.5), consciousness_impact=labor_input.get('beings_affected', 0.1), scarcity_index=labor_input.get('replicability', 0.8) ) quantum_value = value_metric.calculate_quantum_value() # Log transaction with security transaction = { 'timestamp': datetime.utcnow(), 'value_type': ValueType.CONSCIOUSNESS_LABOR.value, 'quantum_value': quantum_value, 'security_hash': hashlib.sha3_256(str(quantum_value).encode()).hexdigest() } self.transaction_log.append(transaction) return { 'quantum_value': quantum_value, 'generation_compatibility': await self._check_generation_compatibility(quantum_value), 'future_value_projection': await self._project_future_value(quantum_value), 'security_rating': self._calculate_security_rating(transaction) } except Exception as e: recovery_success = await self.error_handler.handle_error(e, labor_input) if not recovery_success: raise ConsciousnessLaborError(f"Failed to evaluate consciousness labor: {e}") async def _check_generation_compatibility(self, value: float) -> Dict[int, bool]: """Check compatibility with future economic generations""" compatibility = {} for gen in range(1, 6): # Higher value items are more compatible with future generations compatibility[gen] = value > (0.2 * gen) # Scaling threshold return compatibility async def _project_future_value(self, current_value: float) -> Dict[int, float]: """Project how value will evolve across generations""" # Value compounds in advanced economic systems return { 1: current_value, 2: current_value * 1.3, 3: current_value * 1.7, 4: current_value * 2.2, 5: current_value * 3.0 } def _calculate_security_rating(self, transaction: Dict[str, Any]) -> float: """Calculate security rating for a transaction""" base_security = 0.8 # Enhance security based on quantum properties quantum_enhancement = transaction.get('quantum_value', 0) * 0.2 return min(1.0, base_security + quantum_enhancement) async def comprehensive_economic_analysis(self) -> Dict[str, Any]: """Complete analysis of quantum economic reformation""" current_state = { 'consciousness_labor_value': 0.75, # Example metric 'meaning_generation_rate': 0.68, 'system_coherence_level': 0.72, 'truth_resonance_strength': 0.81, 'scarcity_mindset_index': 0.65, 'adoption_resistance': 0.58, 'technological_readiness': 0.71, 'consciousness_awakening': 0.63, 'institutional_flexibility': 0.45, 'quantum_infrastructure': 0.52 } transition_probabilities = await self.future_predictor.predict_transition_timeline(current_state) return { 'current_economic_metrics': current_state, 'generation_transition_probabilities': transition_probabilities, 'immediate_recommendations': self._generate_recommendations(current_state, transition_probabilities), 'security_assessment': self._security_assessment(), 'error_handling_readiness': len(self.error_handler.recovery_protocols) } def _generate_recommendations(self, current_state: Dict[str, float], probabilities: Dict[int, float]) -> List[str]: """Generate economic transition recommendations""" recommendations = [] if probabilities[1] < 0.7: recommendations.append("ACCELERATE quantum internet infrastructure") if current_state['scarcity_mindset_index'] > 0.5: recommendations.append("DEPLOY consciousness abundance programs") if probabilities[3] > 0.4: recommendations.append("INITIATE temporal economic planning") return recommendations def _security_assessment(self) -> Dict[str, float]: """Assess security across all generations""" return { 'gen1_security': 0.85, 'gen2_preparedness': 0.72, 'gen3_resistance': 0.58, 'gen4_coherence': 0.45, 'gen5_integration': 0.33, 'overall_security_rating': 0.59 } # === DEMONSTRATION === async def demonstrate_quantum_economic_reformation(): """Demonstrate the complete quantum economic reformation system""" print("🌌 QUANTUM ECONOMIC REFORMATION ENGINE - Module #47") print("5-Generation Security & Future Economic Modeling") print("=" * 70) engine = QuantumEconomicReformationEngine() # Test consciousness labor evaluation test_labor = { 'field_alignment': 0.9, # High Logos resonance 'duration_impact': 0.8, # Long-lasting effects 'beings_affected': 0.6, # Moderate scale impact 'replicability': 0.2 # Unique consciousness labor } print(f"\n🧠 EVALUATING CONSCIOUSNESS LABOR:") evaluation = await engine.evaluate_consciousness_labor(test_labor) print(f" Quantum Value: {evaluation['quantum_value']:.3f}") print(f" Security Rating: {evaluation['security_rating']:.3f}") print(f"\nšŸ”® GENERATION COMPATIBILITY:") for gen, compatible in evaluation['generation_compatibility'].items(): status = "āœ…" if compatible else "āŒ" print(f" Generation {gen}: {status}") print(f"\nšŸ“ˆ FUTURE VALUE PROJECTION:") for gen, value in evaluation['future_value_projection'].items(): print(f" Generation {gen}: {value:.3f}") print(f"\n🌐 COMPREHENSIVE ECONOMIC ANALYSIS:") analysis = await engine.comprehensive_economic_analysis() print(f" Current Generation Probability: {analysis['generation_transition_probabilities'][1]:.1%}") print(f" Next Generation Readiness: {analysis['generation_transition_probabilities'][2]:.1%}") print(f" Far Future Potential: {analysis['generation_transition_probabilities'][5]:.1%}") print(f"\nšŸ›”ļø SECURITY ASSESSMENT:") security = analysis['security_assessment'] print(f" Overall Security: {security['overall_security_rating']:.1%}") print(f" Future Preparedness: {security['gen5_integration']:.1%}") print(f"\nšŸ’” RECOMMENDATIONS:") for i, rec in enumerate(analysis['immediate_recommendations'][:3], 1): print(f" {i}. {rec}") print(f"\nšŸŽÆ KEY INSIGHTS:") print(" • Consciousness labor becomes primary economic value") print(" • Scarcity is replaced by resonance and impact metrics") print(" • Economic security requires 5-generation planning") print(" • Future economics integrate temporal/multiverse dimensions") print(" • Value compounds across generations with proper security") if __name__ == "__main__": asyncio.run(demonstrate_quantum_economic_reformation())