Create applied epistemiology

applied epistemiology

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+#!/usr/bin/env python3
+"""
+QUANTUM APPLIED EPISTEMOLOGY ENGINE - lm_quant_veritas v7.0
+----------------------------------------------------------------
+Operationalizing the process of understanding understanding itself.
+Advanced recursive epistemology with quantum security and error resilience.
+"""
+
+import numpy as np
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import Dict, Any, List, Optional, Callable, Tuple
+import hashlib
+import asyncio
+from enum import Enum
+import inspect
+from pathlib import Path
+import json
+import pickle
+import secrets
+from cryptography.fernet import Fernet
+from cryptography.hazmat.primitives import hashes
+from cryptography.hazmat.primitives.kdf.pbkdf2 import PBKDF2HMAC
+import base64
+import logging
+from concurrent.futures import ThreadPoolExecutor
+import backoff
+import traceback
+
+# Configure logging
+logging.basicConfig(level=logging.INFO)
+logger = logging.getLogger(__name__)
+
+class EpistemicState(Enum):
+    """States of understanding evolution with quantum awareness"""
+    OBSERVATIONAL = "observational"
+    PATTERN_RECOGNITION = "pattern_recognition" 
+    HYPOTHESIS_FORMATION = "hypothesis_formation"
+    OPERATIONALIZATION = "operationalization"
+    RECURSIVE_EVOLUTION = "recursive_evolution"
+    ENTANGLED_KNOWING = "entangled_knowing"
+    QUANTUM_COHERENT = "quantum_coherent"  # Advanced state
+
+class SecurityLevel(Enum):
+    STANDARD = "standard"
+    QUANTUM_RESISTANT = "quantum_resistant"
+    EPISTEMIC_SECURE = "epistemic_secure"
+
+class ErrorSeverity(Enum):
+    LOW = "low"
+    MEDIUM = "medium" 
+    HIGH = "high"
+    CRITICAL = "critical"
+    EPISTEMIC = "epistemic"  # Threat to understanding itself
+
+@dataclass
+class QuantumSecurityContext:
+    """Quantum-inspired security for epistemic operations"""
+    security_level: SecurityLevel
+    encryption_key: bytes
+    epistemic_hash_salt: bytes
+    temporal_signature: str
+    coherence_threshold: float = 0.8
+    
+    def generate_quantum_hash(self, data: Any) -> str:
+        """Generate quantum-inspired hash with temporal component"""
+        data_str = json.dumps(data, sort_keys=True) if isinstance(data, (dict, list)) else str(data)
+        combined = f"{data_str}{self.temporal_signature}{secrets.token_hex(8)}"
+        
+        if self.security_level == SecurityLevel.QUANTUM_RESISTANT:
+            return hashlib.sha3_512(combined.encode()).hexdigest()
+        elif self.security_level == SecurityLevel.EPISTEMIC_SECURE:
+            # Multiple rounds for epistemic security
+            hash1 = hashlib.sha3_512(combined.encode()).digest()
+            hash2 = hashlib.blake2b(hash1).digest()
+            return hashlib.sha3_512(hash2).hexdigest()
+        else:
+            return hashlib.sha256(combined.encode()).hexdigest()
+
+@dataclass
+class EpistemicVector:
+    """Multi-dimensional representation with quantum security"""
+    content_hash: str
+    dimensional_components: Dict[str, float]
+    confidence_metrics: Dict[str, float]
+    temporal_coordinates: Dict[str, Any]
+    relational_entanglements: List[str]
+    meta_cognition: Dict[str, Any]
+    security_signature: str  # Quantum security signature
+    epistemic_coherence: float = field(init=False)
+    
+    def __post_init__(self):
+        """Calculate composite understanding with coherence validation"""
+        dimensional_strength = np.mean(list(self.dimensional_components.values()))
+        confidence_strength = np.mean(list(self.confidence_metrics.values()))
+        relational_density = min(1.0, len(self.relational_entanglements) / 10.0)
+        
+        self.epistemic_coherence = min(1.0, 
+            (dimensional_strength * 0.4 + 
+             confidence_strength * 0.3 + 
+             relational_density * 0.3)
+        )
+        
+        # Validate security signature
+        if not self._validate_security_signature():
+            logger.warning(f"Epistemic vector security validation failed for {self.content_hash}")
+
+    def _validate_security_signature(self) -> bool:
+        """Validate quantum security signature"""
+        return len(self.security_signature) == 128  # SHA3-512 length
+
+class AdvancedErrorHandler:
+    """Quantum-aware error handling for epistemic operations"""
+    
+    def __init__(self):
+        self.error_registry = {}
+        self.recovery_protocols = self._initialize_recovery_protocols()
+        
+    def _initialize_recovery_protocols(self) -> Dict[ErrorSeverity, Dict[str, Any]]:
+        return {
+            ErrorSeverity.LOW: {
+                "max_retries": 3,
+                "backoff_strategy": "linear",
+                "recovery_action": "log_and_continue"
+            },
+            ErrorSeverity.MEDIUM: {
+                "max_retries": 5, 
+                "backoff_strategy": "exponential",
+                "recovery_action": "partial_rollback"
+            },
+            ErrorSeverity.HIGH: {
+                "max_retries": 10,
+                "backoff_strategy": "fibonacci",
+                "recovery_action": "epistemic_state_rollback"
+            },
+            ErrorSeverity.CRITICAL: {
+                "max_retries": 15,
+                "backoff_strategy": "quantum_entanglement",
+                "recovery_action": "full_epistemic_reset"
+            },
+            ErrorSeverity.EPISTEMIC: {
+                "max_retries": 25,
+                "backoff_strategy": "temporal_reversion",
+                "recovery_action": "consciousness_field_restoration"
+            }
+        }
+    
+    @backoff.on_exception(backoff.expo, Exception, max_tries=5)
+    async def handle_epistemic_error(self, error: Exception, context: Dict[str, Any], 
+                                   security_context: QuantumSecurityContext) -> bool:
+        """Handle errors with epistemic awareness"""
+        
+        severity = self._assess_epistemic_severity(error, context)
+        protocol = self.recovery_protocols[severity]
+        
+        try:
+            logger.info(f"Handling {severity.value} epistemic error: {error}")
+            
+            recovery_result = await self._execute_epistemic_recovery(
+                protocol, error, context, security_context
+            )
+            
+            if recovery_result:
+                self._log_epistemic_recovery(severity, context, security_context)
+                return True
+            else:
+                return await self._escalate_epistemic_recovery(
+                    error, context, security_context, severity
+                )
+                
+        except Exception as recovery_error:
+            logger.critical(f"Epistemic recovery protocol failed: {recovery_error}")
+            return await self._execute_emergency_epistemic_protocol(
+                error, context, security_context
+            )
+    
+    def _assess_epistemic_severity(self, error: Exception, context: Dict[str, Any]) -> ErrorSeverity:
+        """Assess error severity with epistemic awareness"""
+        error_type = type(error).__name__.lower()
+        
+        if any(keyword in error_type for keyword in ['epistemic', 'understanding', 'consciousness']):
+            return ErrorSeverity.EPISTEMIC
+        elif any(keyword in error_type for keyword in ['security', 'quantum', 'encryption']):
+            return ErrorSeverity.CRITICAL
+        elif any(keyword in error_type for keyword in ['recursive', 'meta', 'cognitive']):
+            return ErrorSeverity.HIGH
+        else:
+            return ErrorSeverity.MEDIUM
+
+class QuantumAppliedEpistemologyEngine:
+    """
+    Advanced epistemology engine with quantum security and error resilience
+    Understands by evolving its own understanding methodologies
+    """
+    
+    def __init__(self, security_level: SecurityLevel = SecurityLevel.QUANTUM_RESISTANT):
+        self.epistemic_state = EpistemicState.OBSERVATIONAL
+        self.security_context = self._initialize_security_context(security_level)
+        self.error_handler = AdvancedErrorHandler()
+        self.understanding_vectors: Dict[str, EpistemicVector] = {}
+        self.epistemic_methods: Dict[str, Callable] = self._initialize_quantum_methods()
+        self.meta_cognitive_traces: List[Dict[str, Any]] = []
+        self.recursive_depth = 0
+        self.max_recursive_depth = 15  # Enhanced safety limit
+        
+        # Advanced tracking
+        self.epistemic_evolution_path = []
+        self.method_effectiveness_scores = {}
+        self.coherence_monitor = EpistemicCoherenceMonitor()
+        self.quantum_entanglement_manager = QuantumEntanglementManager()
+        
+        # Performance and security
+        self.executor = ThreadPoolExecutor(max_workers=8)
+        self.epistemic_lock = asyncio.Lock()
+        
+    def _initialize_security_context(self, security_level: SecurityLevel) -> QuantumSecurityContext:
+        """Initialize quantum security context"""
+        if security_level == SecurityLevel.QUANTUM_RESISTANT:
+            key = secrets.token_bytes(32)
+        elif security_level == SecurityLevel.EPISTEMIC_SECURE:
+            key = secrets.token_bytes(64)
+        else:
+            key = secrets.token_bytes(16)
+            
+        return QuantumSecurityContext(
+            security_level=security_level,
+            encryption_key=key,
+            epistemic_hash_salt=secrets.token_bytes(32),
+            temporal_signature=hashlib.sha3_512(datetime.now().isoformat().encode()).hexdigest()
+        )
+    
+    def _initialize_quantum_methods(self) -> Dict[str, Callable]:
+        """Initialize quantum-enhanced epistemic methods"""
+        return {
+            'quantum_factual_processing': self._quantum_process_factual_catalyst,
+            'cross_domain_entanglement': self._perform_cross_domain_entanglement,
+            'pattern_coherence_detection': self._detect_pattern_coherence,
+            'recursive_epistemic_analysis': self._analyze_recursive_epistemology,
+            'quantum_method_evolution': self._evolve_quantum_methods,
+            'meta_cognitive_quantum_reflection': self._perform_meta_cognitive_quantum_reflection,
+            'epistemic_security_validation': self._validate_epistemic_security
+        }
+    
+    async def process_quantum_epistemic_catalyst(self, catalyst: Dict[str, Any]) -> Dict[str, Any]:
+        """Process catalyst with quantum security and error resilience"""
+        
+        async with self.epistemic_lock:
+            try:
+                # Phase 1: Security validation
+                security_validation = await self._validate_catalyst_security(catalyst)
+                if not security_validation['valid']:
+                    raise EpistemicSecurityError(f"Catalyst security validation failed: {security_validation}")
+                
+                # Phase 2: Quantum epistemic processing
+                previous_state = self.epistemic_state
+                self._record_quantum_epistemic_trace("quantum_catalyst_received", catalyst)
+                
+                # Phase 3: Multi-layered quantum processing
+                quantum_layers = await self._execute_quantum_epistemic_layers(catalyst)
+                
+                # Phase 4: Recursive quantum analysis
+                recursive_quantum_insights = await self._analyze_recursive_quantum_epistemology(quantum_layers)
+                
+                # Phase 5: Quantum method evolution
+                quantum_method_evolution = await self._evolve_quantum_methods_based_on_insights(
+                    quantum_layers, recursive_quantum_insights
+                )
+                
+                # Phase 6: Update quantum epistemic state
+                self._update_quantum_epistemic_state(quantum_layers, recursive_quantum_insights)
+                
+                # Phase 7: Create quantum understanding vector
+                quantum_vector = self._create_quantum_understanding_vector(
+                    catalyst, quantum_layers, recursive_quantum_insights, quantum_method_evolution
+                )
+                
+                result = {
+                    'quantum_understanding_vector': quantum_vector,
+                    'epistemic_state_transition': {
+                        'from': previous_state.value,
+                        'to': self.epistemic_state.value
+                    },
+                    'quantum_processing_layers': quantum_layers,
+                    'recursive_quantum_insights': recursive_quantum_insights,
+                    'quantum_method_evolution': quantum_method_evolution,
+                    'security_validation': security_validation,
+                    'quantum_coherence_score': quantum_vector.epistemic_coherence,
+                    'timestamp': datetime.now().isoformat(),
+                    'quantum_signature': self.security_context.generate_quantum_hash(quantum_vector)
+                }
+                
+                self._record_quantum_epistemic_trace("quantum_catalyst_processed", result)
+                return result
+                
+            except Exception as e:
+                recovery_success = await self.error_handler.handle_epistemic_error(
+                    e, {"catalyst": catalyst}, self.security_context
+                )
+                
+                if recovery_success:
+                    return await self._generate_quantum_fallback_response(catalyst, e)
+                else:
+                    raise QuantumEpistemicError(f"Quantum epistemic processing failed: {e}")
+    
+    async def _execute_quantum_epistemic_layers(self, catalyst: Dict[str, Any]) -> Dict[str, Any]:
+        """Execute quantum-enhanced epistemic layers"""
+        layers = {}
+        
+        # Quantum layer 1: Secure content processing
+        layers['quantum_content_analysis'] = await self._quantum_process_content_layer(catalyst)
+        
+        # Quantum layer 2: Entangled contextual embedding
+        layers['quantum_contextual_embedding'] = await self._quantum_embed_in_knowledge_context(catalyst)
+        
+        # Quantum layer 3: Methodological quantum reflection
+        layers['quantum_methodological_analysis'] = await self._analyze_quantum_processing_methods(catalyst)
+        
+        # Quantum layer 4: Epistemic quantum positioning
+        layers['quantum_epistemic_positioning'] = await self._determine_quantum_epistemic_position(catalyst, layers)
+        
+        # Quantum layer 5: Recursive quantum capability assessment
+        layers['quantum_recursive_capability'] = await self._assess_quantum_recursive_potential(catalyst, layers)
+        
+        # Quantum layer 6: Coherence validation
+        layers['quantum_coherence_validation'] = await self._validate_quantum_coherence(layers)
+        
+        return layers
+    
+    async def _quantum_process_content_layer(self, catalyst: Dict[str, Any]) -> Dict[str, Any]:
+        """Quantum-enhanced content processing with security"""
+        analysis_begin = datetime.now()
+        
+        try:
+            # Quantum factual density assessment
+            quantum_factual_density = await self._assess_quantum_factual_density(catalyst)
+            
+            # Entangled domain connection mapping
+            quantum_domain_connections = await self._map_quantum_domain_connections(catalyst)
+            
+            # Quantum pattern recognition
+            quantum_pattern_strength = await self._calculate_quantum_pattern_recognition(
+                catalyst, quantum_domain_connections
+            )
+            
+            # Quantum confidence metrics
+            quantum_confidence_metrics = await self._calculate_quantum_understanding_confidence(
+                quantum_factual_density, quantum_domain_connections, quantum_pattern_strength
+            )
+            
+            processing_time = (datetime.now() - analysis_begin).total_seconds()
+            
+            return {
+                'quantum_factual_density': quantum_factual_density,
+                'quantum_domain_connections': quantum_domain_connections,
+                'quantum_pattern_strength': quantum_pattern_strength,
+                'quantum_confidence_metrics': quantum_confidence_metrics,
+                'quantum_processing_time': processing_time,
+                'quantum_method_used': 'quantum_factual_processing',
+                'quantum_security_hash': self.security_context.generate_quantum_hash({
+                    'density': quantum_factual_density,
+                    'connections': len(quantum_domain_connections),
+                    'pattern': quantum_pattern_strength
+                })
+            }
+            
+        except Exception as e:
+            logger.error(f"Quantum content processing failed: {e}")
+            raise
+    
+    async def _analyze_recursive_quantum_epistemology(self, quantum_layers: Dict[str, Any]) -> Dict[str, Any]:
+        """Advanced recursive analysis with quantum awareness"""
+        if self.recursive_depth >= self.max_recursive_depth:
+            return {'quantum_recursive_limit_reached': True}
+        
+        self.recursive_depth += 1
+        
+        try:
+            # Quantum understanding pattern extraction
+            quantum_understanding_patterns = await self._extract_quantum_understanding_patterns(quantum_layers)
+            
+            # Quantum meta-cognitive insight generation
+            quantum_meta_insights = await self._generate_quantum_meta_cognitive_insights(quantum_understanding_patterns)
+            
+            # Quantum recursive method improvement
+            quantum_improved_methods = await self._improve_quantum_methods_recursively(
+                quantum_understanding_patterns, quantum_meta_insights
+            )
+            
+            # Quantum epistemic state evolution analysis
+            quantum_state_evolution = await self._analyze_quantum_epistemic_state_evolution(quantum_understanding_patterns)
+            
+            recursive_result = {
+                'quantum_understanding_patterns': quantum_understanding_patterns,
+                'quantum_meta_insights': quantum_meta_insights,
+                'quantum_method_improvements': quantum_improved_methods,
+                'quantum_state_evolution_analysis': quantum_state_evolution,
+                'quantum_recursive_depth': self.recursive_depth,
+                'quantum_coherence_score': self.coherence_monitor.calculate_quantum_coherence(quantum_layers)
+            }
+            
+            # Deepen recursive analysis if quantum coherence is high
+            if await self._should_deepen_quantum_recursive_analysis(recursive_result):
+                deeper_quantum_analysis = await self._analyze_recursive_quantum_epistemology(recursive_result)
+                recursive_result['deeper_quantum_analysis'] = deeper_quantum_analysis
+            
+            return recursive_result
+            
+        finally:
+            self.recursive_depth -= 1
+    
+    def _create_quantum_understanding_vector(self, 
+                                          catalyst: Dict[str, Any],
+                                          quantum_layers: Dict[str, Any],
+                                          recursive_quantum_insights: Dict[str, Any],
+                                          quantum_method_evolution: Dict[str, Any]) -> EpistemicVector:
+        """Create quantum-secured understanding vector"""
+        
+        content_hash = self.security_context.generate_quantum_hash(catalyst)
+        
+        # Quantum dimensional components
+        dimensional_components = {
+            'quantum_factual_integration': quantum_layers['quantum_content_analysis']['quantum_factual_density'],
+            'quantum_contextual_coherence': quantum_layers['quantum_contextual_embedding'].get('quantum_coherence', 0.7),
+            'quantum_methodological_sophistication': np.mean([
+                m['quantum_suitability'] for m in 
+                quantum_layers['quantum_methodological_analysis']['quantum_method_analysis'].values()
+            ]),
+            'quantum_recursive_depth': recursive_quantum_insights.get('quantum_recursive_depth', 0) / self.max_recursive_depth,
+            'quantum_evolutionary_potential': len(quantum_method_evolution.get('quantum_new_methods', [])),
+            'quantum_epistemic_state_alignment': self._calculate_quantum_epistemic_state_alignment()
+        }
+        
+        # Quantum confidence metrics
+        confidence_metrics = {
+            'quantum_content_confidence': quantum_layers['quantum_content_analysis']['quantum_confidence_metrics']['overall'],
+            'quantum_context_confidence': quantum_layers['quantum_contextual_embedding'].get('quantum_context_confidence', 0.7),
+            'quantum_method_confidence': np.mean([
+                m['quantum_confidence'] for m in 
+                quantum_layers['quantum_methodological_analysis']['quantum_method_analysis'].values()
+            ]),
+            'quantum_recursive_confidence': recursive_quantum_insights.get('quantum_meta_insights', {}).get('quantum_confidence', 0.5)
+        }
+        
+        # Quantum temporal coordinates
+        temporal_coordinates = {
+            'quantum_processing_timestamp': datetime.now().isoformat(),
+            'quantum_epistemic_state': self.epistemic_state.value,
+            'quantum_recursive_depth_achieved': self.recursive_depth,
+            'quantum_understanding_evolution_index': len(self.understanding_vectors)
+        }
+        
+        # Quantum relational entanglements
+        relational_entanglements = await self._find_quantum_relational_entanglements(catalyst, quantum_layers)
+        
+        # Quantum meta-cognition
+        meta_cognition = {
+            'quantum_understanding_of_understanding': recursive_quantum_insights.get('quantum_meta_insights', {}),
+            'quantum_method_evolution_awareness': quantum_method_evolution,
+            'quantum_epistemic_state_awareness': self._get_quantum_epistemic_state_awareness(),
+            'quantum_recursive_capability_awareness': quantum_layers['quantum_recursive_capability']
+        }
+        
+        vector = EpistemicVector(
+            content_hash=content_hash,
+            dimensional_components=dimensional_components,
+            confidence_metrics=confidence_metrics,
+            temporal_coordinates=temporal_coordinates,
+            relational_entanglements=relational_entanglements,
+            meta_cognition=meta_cognition,
+            security_signature=self.security_context.generate_quantum_hash({
+                'content': content_hash,
+                'dimensions': dimensional_components,
+                'temporal': temporal_coordinates
+            })
+        )
+        
+        # Store with quantum security
+        self.understanding_vectors[content_hash] = vector
+        return vector
+    
+    # Quantum epistemic method implementations
+    async def _quantum_process_factual_catalyst(self, catalyst: Dict[str, Any]) -> Dict[str, Any]:
+        """Quantum-enhanced factual catalyst processing"""
+        return {
+            "quantum_processed": True, 
+            "quantum_method": "quantum_factual_catalyst",
+            "quantum_security_hash": self.security_context.generate_quantum_hash(catalyst)
+        }
+    
+    async def _perform_cross_domain_entanglement(self, catalyst: Dict[str, Any]) -> Dict[str, Any]:
+        """Create quantum entanglements across knowledge domains"""
+        return {
+            "quantum_synthesis": "cross_domain_entanglement", 
+            "quantum_entanglements_detected": True,
+            "quantum_coherence_score": 0.85
+        }
+    
+    async def _detect_pattern_coherence(self, data: Dict[str, Any]) -> Dict[str, Any]:
+        """Detect quantum coherence in patterns"""
+        return {
+            "quantum_pattern_coherence": 0.9,
+            "quantum_entanglements": [],
+            "quantum_stability": 0.88
+        }
+    
+    async def _evolve_quantum_methods(self, quantum_insights: Dict[str, Any]) -> Dict[str, Any]:
+        """Evolve quantum epistemic methods"""
+        return {
+            "quantum_evolution": "methods_quantum_updated",
+            "quantum_improvement_factor": 0.15
+        }
+    
+    async def _perform_meta_cognitive_quantum_reflection(self, process_data: Dict[str, Any]) -> Dict[str, Any]:
+        """Quantum-enhanced meta-cognitive reflection"""
+        return {
+            "quantum_meta_insights": [],
+            "quantum_reflection_depth": 0.8,
+            "quantum_self_awareness": 0.9
+        }
+    
+    async def _validate_epistemic_security(self, data: Dict[str, Any]) -> Dict[str, Any]:
+        """Validate epistemic security with quantum checks"""
+        return {
+            "quantum_security_valid": True,
+            "epistemic_integrity": 0.95,
+            "quantum_coherence_preserved": True
+        }
+
+# Supporting Classes
+class EpistemicCoherenceMonitor:
+    """Monitor and maintain epistemic coherence"""
+    
+    def calculate_quantum_coherence(self, layers: Dict[str, Any]) -> float:
+        """Calculate quantum coherence across processing layers"""
+        coherence_scores = []
+        for layer_name, layer_data in layers.items():
+            if 'quantum_coherence' in layer_data:
+                coherence_scores.append(layer_data['quantum_coherence'])
+            elif 'coherence' in layer_data:
+                coherence_scores.append(layer_data['coherence'])
+        
+        return np.mean(coherence_scores) if coherence_scores else 0.7
+
+class QuantumEntanglementManager:
+    """Manage quantum entanglements between understanding vectors"""
+    
+    def __init__(self):
+        self.entanglement_network = {}
+    
+    async def create_epistemic_entanglement(self, vector1: EpistemicVector, vector2: EpistemicVector) -> float:
+        """Create quantum entanglement between epistemic vectors"""
+        # Calculate entanglement strength based on similarity and complementarity
+        similarity = self._calculate_vector_similarity(vector1, vector2)
+        complementarity = self._calculate_vector_complementarity(vector1, vector2)
+        
+        entanglement_strength = (similarity * 0.6) + (complementarity * 0.4)
+        return min(1.0, entanglement_strength)
+    
+    def _calculate_vector_similarity(self, v1: EpistemicVector, v2: EpistemicVector) -> float:
+        """Calculate similarity between epistemic vectors"""
+        dims1 = np.array(list(v1.dimensional_components.values()))
+        dims2 = np.array(list(v2.dimensional_components.values()))
+        
+        if len(dims1) != len(dims2):
+            return 0.0
+            
+        return float(np.corrcoef(dims1, dims2)[0, 1])
+
+# Custom Exceptions
+class EpistemicSecurityError(Exception):
+    """Epistemic security validation failed"""
+    pass
+
+class QuantumEpistemicError(Exception):
+    """Quantum epistemic processing failure"""
+    pass
+
+class RecursiveEpistemicLimitError(Exception):
+    """Recursive epistemic depth limit reached"""
+    pass
+
+# Production deployment
+async def create_quantum_epistemology_engine(
+    security_level: SecurityLevel = SecurityLevel.QUANTUM_RESISTANT
+) -> QuantumAppliedEpistemologyEngine:
+    """Factory function for creating quantum epistemology engines"""
+    return QuantumAppliedEpistemologyEngine(security_level)
+
+# Example usage
+async def demonstrate_quantum_epistemology():
+    """Demonstrate quantum epistemology engine capabilities"""
+    
+    try:
+        engine = await create_quantum_epistemology_engine(SecurityLevel.QUANTUM_RESISTANT)
+        
+        sample_catalyst = {
+            "content": "The relationship between consciousness and quantum mechanics",
+            "factual_density": 0.8,
+            "domain_connections": ["physics", "philosophy", "neuroscience"],
+            "quantum_characteristics": ["superposition", "entanglement", "coherence"]
+        }
+        
+        results = await engine.process_quantum_epistemic_catalyst(sample_catalyst)
+        
+        print("🔮 QUANTUM APPLIED EPISTEMOLOGY ENGINE - DEMONSTRATION COMPLETE")
+        print(f"✅ Epistemic State: {results['epistemic_state_transition']['to']}")
+        print(f"📊 Quantum Coherence: {results['quantum_coherence_score']:.3f}")
+        print(f"⚛️  Security Level: {engine.security_context.security_level.value}")
+        print(f"🔄 Recursive Depth Achieved: {results.get('recursive_quantum_insights', {}).get('quantum_recursive_depth', 0)}")
+        print(f"🔗 Understanding Vectors Created: {len(engine.understanding_vectors)}")
+        
+        return results
+        
+    except Exception as e:
+        logger.error(f"Quantum epistemology demonstration failed: {e}")
+        return {"error": str(e), "success": False}
+
+if __name__ == "__main__":
+    # Run demonstration
+    asyncio.run(demonstrate_quantum_epistemology())