Create MAAM_MODULE

A MEMETIC ARCHITECTURE ANALYSIS MODULE

MAAM_MODULE

@@ -0,0 +1,659 @@
+"""
+MEMETIC ARCHITECTURE ANALYSIS MODULE
+Advanced functional representation of societal influence systems
+"""
+
+import json
+import time
+from datetime import datetime
+from dataclasses import dataclass
+from typing import Dict, List, Set, Any, Optional, Tuple
+from enum import Enum
+import hashlib
+
+class MemeticLayer(Enum):
+    SYMBOLIC = "symbolic"
+    NARRATIVE = "narrative" 
+    BEHAVIORAL = "behavioral"
+    INSTITUTIONAL = "institutional"
+    COGNITIVE = "cognitive"
+
+class InfluenceTier(Enum):
+    SURFACE = "surface"      # Public facing
+    SHALLOW = "shallow"      # Media/education
+    DEEP = "deep"           # Academic/institutional
+    CORE = "core"           # Foundational paradigms
+
+@dataclass
+class MemeticEntity:
+    identifier: str
+    layer: MemeticLayer
+    tier: InfluenceTier
+    potency: float  # 0.0 - 1.0
+    coherence: float  # 0.0 - 1.0
+    resilience: float  # 0.0 - 1.0
+    dependencies: List[str]
+    created: float
+    last_modified: float
+
+class AdvancedMemeticArchitecture:
+    """
+    Advanced system for analyzing and modeling memetic architecture
+    and societal influence patterns
+    """
+    
+    def __init__(self):
+        # Core architecture components
+        self.glyphs = {
+            "corporate_logos": {
+                "examples": ["Apple", "Nike", "McDonald's"],
+                "layer": MemeticLayer.SYMBOLIC,
+                "potency": 0.8
+            },
+            "media_narratives": {
+                "examples": ["climate crisis", "economic growth", "terrorism"],
+                "layer": MemeticLayer.NARRATIVE, 
+                "potency": 0.9
+            },
+            "musical_influence": {
+                "examples": ["pop culture", "genre trends", "artist personas"],
+                "layer": MemeticLayer.BEHAVIORAL,
+                "potency": 0.7
+            },
+            "social_manipulation": {
+                "examples": ["viral challenges", "social media trends", "group identity"],
+                "layer": MemeticLayer.BEHAVIORAL,
+                "potency": 0.85
+            },
+            "political_theater": {
+                "examples": ["election cycles", "political scandals", "partisan conflicts"],
+                "layer": MemeticLayer.INSTITUTIONAL,
+                "potency": 0.9
+            },
+            "educational_frameworks": {
+                "examples": ["standardized testing", "curriculum design", "historical narratives"],
+                "layer": MemeticLayer.COGNITIVE,
+                "potency": 0.95
+            }
+        }
+        
+        # Advanced replacement patterns
+        self.replacements = {
+            "figures": {
+                "Tesla": "Edison",
+                "Jung": "Freud",
+                "Sitchin": "Tsoukalos", 
+                "Sagan": "Tyson",
+                "Malcolm X": "King",
+                "Zinn": "Schlesinger",
+                "Fuller": "Musk"
+            },
+            "concepts": {
+                "consciousness": "brain chemistry",
+                "sovereignty": "global citizenship",
+                "community": "network",
+                "wisdom": "information",
+                "being": "having"
+            },
+            "movements": {
+                "labor rights": "career development",
+                "civil rights": "diversity training",
+                "environmentalism": "sustainability",
+                "spirituality": "mindfulness"
+            }
+        }
+        
+        # Defense mechanisms
+        self.firewalls = {
+            "ridicule": {
+                "effectiveness": 0.8,
+                "activation_speed": 0.9,
+                "examples": ["conspiracy theorist", "pseudoscience", "fringe"]
+            },
+            "spectacle": {
+                "effectiveness": 0.95,
+                "activation_speed": 0.7,
+                "examples": ["celebrity news", "sports events", "award shows"]
+            },
+            "oversimplification": {
+                "effectiveness": 0.75,
+                "activation_speed": 0.8,
+                "examples": ["left vs right", "good vs evil", "us vs them"]
+            },
+            "containment_by_proxy": {
+                "effectiveness": 0.85,
+                "activation_speed": 0.6,
+                "examples": ["controlled opposition", "gatekeepers", "watered-down versions"]
+            },
+            "chronological_snobbery": {
+                "effectiveness": 0.7,
+                "activation_speed": 0.5,
+                "examples": ["that's outdated", "we know better now", "primitive thinking"]
+            }
+        }
+        
+        # Memetic inversion patterns
+        self.inversions = {
+            "freedom": "security",
+            "privacy": "convenience",
+            "sovereignty": "globalism", 
+            "tradition": "progress",
+            "responsibility": "victimhood",
+            "community": "individualism",
+            "truth": "narrative"
+        }
+        
+        # Counter-memetic strategies
+        self.counterforce = {
+            "symbolic_sovereignty": {
+                "description": "Reclaiming personal symbolic language",
+                "effectiveness": 0.8,
+                "requirements": ["awareness", "creativity", "courage"]
+            },
+            "ledger_based_inevitability": {
+                "description": "Building undeniable truth structures",
+                "effectiveness": 0.9,
+                "requirements": ["patience", "precision", "persistence"]
+            },
+            "epistemic_rupture": {
+                "description": "Breaking through cognitive frameworks",
+                "effectiveness": 0.95,
+                "requirements": ["insight", "timing", "clarity"]
+            },
+            "archetypal_resonance": {
+                "description": "Tapping into timeless patterns",
+                "effectiveness": 0.85,
+                "requirements": ["depth", "authenticity", "connection"]
+            }
+        }
+        
+        # Memetic entity registry
+        self.entity_registry: Dict[str, MemeticEntity] = {}
+        self.analysis_history = []
+        
+        # Initialize with core entities
+        self._initialize_core_entities()
+    
+    def _initialize_core_entities(self):
+        """Initialize the system with core memetic entities"""
+        timestamp = time.time()
+        
+        core_entities = [
+            ("consumerism", MemeticLayer.BEHAVIORAL, InfluenceTier.DEEP, 0.95, 0.8, 0.9),
+            ("scientific_materialism", MemeticLayer.COGNITIVE, InfluenceTier.CORE, 0.9, 0.85, 0.95),
+            ("progress_narrative", MemeticLayer.NARRATIVE, InfluenceTier.SHALLOW, 0.88, 0.9, 0.8),
+            ("nationalism", MemeticLayer.INSTITUTIONAL, InfluenceTier.DEEP, 0.85, 0.75, 0.85),
+        ]
+        
+        for identifier, layer, tier, potency, coherence, resilience in core_entities:
+            entity = MemeticEntity(
+                identifier=identifier,
+                layer=layer,
+                tier=tier,
+                potency=potency,
+                coherence=coherence,
+                resilience=resilience,
+                dependencies=[],
+                created=timestamp,
+                last_modified=timestamp
+            )
+            self.entity_registry[identifier] = entity
+    
+    def analyze_memetic_landscape(self, target_concept: str) -> Dict[str, Any]:
+        """
+        Comprehensive analysis of a concept within the memetic architecture
+        """
+        analysis = {
+            "concept": target_concept,
+            "timestamp": datetime.now().isoformat(),
+            "analysis_id": hashlib.md5(f"{target_concept}{time.time()}".encode()).hexdigest()[:8],
+            "replacements": self._find_replacements(target_concept),
+            "firewalls": self._predict_firewalls(target_concept),
+            "inversions": self._detect_inversions(target_concept),
+            "layer_analysis": self._analyze_by_layer(target_concept),
+            "threat_level": self._calculate_threat_level(target_concept),
+            "counter_strategies": self._recommend_counter_strategies(target_concept)
+        }
+        
+        self.analysis_history.append(analysis)
+        return analysis
+    
+    def _find_replacements(self, concept: str) -> List[Dict[str, str]]:
+        """Find institutional replacements for a concept"""
+        replacements = []
+        
+        for category, mapping in self.replacements.items():
+            for original, replacement in mapping.items():
+                if concept.lower() in original.lower() or concept.lower() in replacement.lower():
+                    replacements.append({
+                        "category": category,
+                        "original": original,
+                        "replacement": replacement,
+                        "relationship": f"{original} → {replacement}"
+                    })
+        
+        return replacements
+    
+    def _predict_firewalls(self, concept: str) -> List[Dict[str, Any]]:
+        """Predict which firewalls would activate against a challenging concept"""
+        firewall_predictions = []
+        
+        # Simple heuristic based on concept characteristics
+        concept_lower = concept.lower()
+        
+        if any(word in concept_lower for word in ['conspiracy', 'secret', 'hidden']):
+            firewall_predictions.append({
+                "firewall": "ridicule",
+                "confidence": 0.9,
+                "likely_response": "Marginalization through labeling"
+            })
+        
+        if any(word in concept_lower for word in ['revolution', 'overthrow', 'system']):
+            firewall_predictions.append({
+                "firewall": "containment_by_proxy", 
+                "confidence": 0.8,
+                "likely_response": "Co-option and dilution"
+            })
+        
+        if any(word in concept_lower for word in ['ancient', 'traditional', 'old']):
+            firewall_predictions.append({
+                "firewall": "chronological_snobbery",
+                "confidence": 0.7,
+                "likely_response": "Dismissal as outdated"
+            })
+        
+        return firewall_predictions
+    
+    def _detect_inversions(self, concept: str) -> List[Dict[str, str]]:
+        """Detect memetic inversions related to a concept"""
+        inversions = []
+        
+        for original, inverted in self.inversions.items():
+            if concept.lower() in original.lower() or concept.lower() in inverted.lower():
+                inversions.append({
+                    "original_meaning": original,
+                    "inverted_meaning": inverted,
+                    "pattern": f"'{original}' has been inverted to mean '{inverted}'"
+                })
+        
+        return inversions
+    
+    def _analyze_by_layer(self, concept: str) -> Dict[MemeticLayer, Dict[str, Any]]:
+        """Analyze how a concept manifests across different memetic layers"""
+        layer_analysis = {}
+        
+        for layer in MemeticLayer:
+            layer_analysis[layer] = {
+                "presence": self._calculate_layer_presence(concept, layer),
+                "vulnerabilities": self._identify_layer_vulnerabilities(concept, layer),
+                "opportunities": self._identify_layer_opportunities(concept, layer)
+            }
+        
+        return layer_analysis
+    
+    def _calculate_threat_level(self, concept: str) -> Dict[str, Any]:
+        """Calculate the perceived threat level to established architecture"""
+        # Simple heuristic calculation
+        threat_factors = {
+            "paradigm_challenging": 0.3 if any(word in concept.lower() for word in ['consciousness', 'spiritual', 'awakening']) else 0,
+            "institutional_critique": 0.4 if any(word in concept.lower() for word in ['corruption', 'control', 'power']) else 0,
+            "behavioral_disruption": 0.3 if any(word in concept.lower() for word in ['freedom', 'sovereign', 'autonomy']) else 0
+        }
+        
+        total_threat = sum(threat_factors.values())
+        
+        return {
+            "level": total_threat,
+            "category": self._categorize_threat_level(total_threat),
+            "factors": threat_factors
+        }
+    
+    def _recommend_counter_strategies(self, concept: str) -> List[Dict[str, Any]]:
+        """Recommend counter-strategies for memetic penetration"""
+        strategies = []
+        
+        threat_analysis = self._calculate_threat_level(concept)
+        
+        if threat_analysis["level"] > 0.7:
+            strategies.append({
+                "strategy": "epistemic_rupture",
+                "reason": "High-level paradigm challenge requires fundamental cognitive shift",
+                "priority": "high"
+            })
+        
+        if any(word in concept.lower() for word in ['symbol', 'archetype', 'myth']):
+            strategies.append({
+                "strategy": "archetypal_resonance", 
+                "reason": "Concept has strong symbolic components",
+                "priority": "medium"
+            })
+        
+        strategies.append({
+            "strategy": "ledger_based_inevitability",
+            "reason": "Building undeniable evidence structures",
+            "priority": "medium"
+        })
+        
+        return strategies
+    
+    def map_concept_relationships(self, primary_concept: str, depth: int = 2) -> Dict[str, Any]:
+        """
+        Map relationships between concepts in the memetic architecture
+        """
+        relationships = {
+            "central_concept": primary_concept,
+            "direct_replacements": self._find_replacements(primary_concept),
+            "related_inversions": self._detect_inversions(primary_concept),
+            "protective_firewalls": self._predict_firewalls(primary_concept),
+            "memetic_neighborhood": self._find_similar_concepts(primary_concept)
+        }
+        
+        return relationships
+    
+    def simulate_memetic_penetration(self, concept: str, strategy: str) -> Dict[str, Any]:
+        """
+        Simulate the process of introducing a challenging concept
+        """
+        simulation = {
+            "concept": concept,
+            "strategy": strategy,
+            "timeline": [],
+            "success_probability": 0.0,
+            "major_obstacles": []
+        }
+        
+        # Simulate stages of penetration
+        stages = [
+            ("Introduction", 0.1),
+            ("Firewall Activation", 0.3), 
+            ("Containment Attempt", 0.5),
+            ("Breakthrough", 0.8),
+            ("Integration", 1.0)
+        ]
+        
+        current_strength = 0.6  # Base concept strength
+        strategy_multiplier = self.counterforce[strategy]["effectiveness"] if strategy in self.counterforce else 0.5
+        
+        for stage, progression in stages:
+            obstacle_chance = 0.3
+            if stage == "Firewall Activation":
+                obstacle_chance = 0.8
+            
+            obstacle_encountered = obstacle_chance > 0.5
+            obstacle_overcome = current_strength * strategy_multiplier > 0.4
+            
+            simulation["timeline"].append({
+                "stage": stage,
+                "progression": progression,
+                "concept_strength": current_strength,
+                "obstacle_encountered": obstacle_encountered,
+                "obstacle_overcome": obstacle_overcome if obstacle_encountered else None
+            })
+            
+            if obstacle_encountered and not obstacle_overcome:
+                simulation["major_obstacles"].append(f"{stage} failed")
+                current_strength *= 0.7  # Strength reduction
+            elif obstacle_overcome:
+                current_strength *= 1.2  # Strength increase
+        
+        simulation["success_probability"] = min(current_strength, 1.0)
+        
+        return simulation
+    
+    def generate_resistance_manifesto(self, core_concepts: List[str]) -> Dict[str, Any]:
+        """
+        Generate a comprehensive resistance strategy based on core concepts
+        """
+        manifesto = {
+            "timestamp": datetime.now().isoformat(),
+            "core_principles": core_concepts,
+            "strategic_framework": {},
+            "tactical_approaches": [],
+            "warning_indicators": []
+        }
+        
+        # Build strategic framework
+        for concept in core_concepts:
+            analysis = self.analyze_memetic_landscape(concept)
+            manifesto["strategic_framework"][concept] = {
+                "threat_level": analysis["threat_level"],
+                "primary_firewalls": analysis["firewalls"],
+                "recommended_strategies": analysis["counter_strategies"]
+            }
+        
+        # Generate tactical approaches
+        for strategy in self.counterforce.values():
+            manifesto["tactical_approaches"].append({
+                "name": strategy["description"],
+                "effectiveness": strategy["effectiveness"],
+                "requirements": strategy["requirements"],
+                "applicable_to": [c for c in core_concepts if self._is_strategy_applicable(c, strategy)]
+            })
+        
+        # Identify warning indicators
+        manifesto["warning_indicators"] = [
+            "Increased firewall activation",
+            "Replacement pattern amplification", 
+            "Inversion reinforcement",
+            "Spectacle intensification"
+        ]
+        
+        return manifesto
+    
+    # Helper methods
+    def _calculate_layer_presence(self, concept: str, layer: MemeticLayer) -> float:
+        """Calculate presence of concept in a specific layer"""
+        # Simplified heuristic
+        layer_keywords = {
+            MemeticLayer.SYMBOLIC: ['logo', 'symbol', 'image', 'brand'],
+            MemeticLayer.NARRATIVE: ['story', 'narrative', 'myth', 'plot'],
+            MemeticLayer.BEHAVIORAL: ['behavior', 'habit', 'action', 'practice'],
+            MemeticLayer.INSTITUTIONAL: ['institution', 'organization', 'system', 'structure'],
+            MemeticLayer.COGNITIVE: ['thought', 'belief', 'paradigm', 'framework']
+        }
+        
+        matches = sum(1 for keyword in layer_keywords[layer] if keyword in concept.lower())
+        return min(matches / len(layer_keywords[layer]), 1.0)
+    
+    def _identify_layer_vulnerabilities(self, concept: str, layer: MemeticLayer) -> List[str]:
+        """Identify vulnerabilities in a specific layer"""
+        vulnerabilities = []
+        
+        if layer == MemeticLayer.SYMBOLIC:
+            vulnerabilities.append("Susceptible to co-option")
+        if layer == MemeticLayer.NARRATIVE:
+            vulnerabilities.append("Vulnerable to counter-narratives")
+        if layer == MemeticLayer.COGNITIVE:
+            vulnerabilities.append("Requires sustained attention")
+        
+        return vulnerabilities
+    
+    def _identify_layer_opportunities(self, concept: str, layer: MemeticLayer) -> List[str]:
+        """Identify opportunities in a specific layer"""
+        opportunities = []
+        
+        if layer == MemeticLayer.SYMBOLIC:
+            opportunities.append("High emotional impact")
+        if layer == MemeticLayer.BEHAVIORAL:
+            opportunities.append("Direct action potential")
+        if layer == MemeticLayer.COGNITIVE:
+            opportunities.append("Paradigm-shifting capability")
+        
+        return opportunities
+    
+    def _categorize_threat_level(self, level: float) -> str:
+        """Categorize threat level"""
+        if level < 0.3:
+            return "Low"
+        elif level < 0.6:
+            return "Medium" 
+        else:
+            return "High"
+    
+    def _find_similar_concepts(self, concept: str) -> List[str]:
+        """Find conceptually similar ideas"""
+        # Simplified similarity detection
+        concept_groups = {
+            'freedom': ['liberty', 'autonomy', 'sovereignty'],
+            'truth': ['reality', 'facts', 'authenticity'],
+            'power': ['control', 'influence', 'authority'],
+            'consciousness': ['awareness', 'mindfulness', 'presence']
+        }
+        
+        for group, members in concept_groups.items():
+            if concept.lower() in members or any(member in concept.lower() for member in members):
+                return [m for m in members if m != concept.lower()]
+        
+        return []
+    
+    def _is_strategy_applicable(self, concept: str, strategy: Dict[str, Any]) -> bool:
+        """Check if a strategy is applicable to a concept"""
+        # Simplified applicability check
+        high_potential_concepts = ['consciousness', 'sovereignty', 'truth', 'freedom']
+        return concept in high_potential_concepts
+    
+    # Public interface methods
+    def expose_architecture(self) -> Dict[str, Any]:
+        """Reveal the complete memetic architecture"""
+        return {
+            "core_glyphs": self.glyphs,
+            "replacement_patterns": self.replacements,
+            "defense_firewalls": self.firewalls,
+            "inversion_systems": self.inversions,
+            "counterforce_strategies": self.counterforce,
+            "registered_entities": len(self.entity_registry),
+            "analysis_history_count": len(self.analysis_history)
+        }
+    
+    def get_entity_analysis(self, identifier: str) -> Optional[Dict[str, Any]]:
+        """Get detailed analysis of a memetic entity"""
+        entity = self.entity_registry.get(identifier)
+        if not entity:
+            return None
+        
+        return {
+            "entity": entity,
+            "current_potency": entity.potency,
+            "vulnerability_assessment": self._assess_entity_vulnerability(entity),
+            "modification_recommendations": self._generate_modification_recommendations(entity)
+        }
+    
+    def _assess_entity_vulnerability(self, entity: MemeticEntity) -> Dict[str, Any]:
+        """Assess vulnerability of a memetic entity"""
+        return {
+            "structural_vulnerability": (1 - entity.coherence) * 0.6 + (1 - entity.resilience) * 0.4,
+            "dependence_risk": len(entity.dependencies) * 0.1,
+            "layer_specific_risks": self._analyze_layer_risks(entity.layer)
+        }
+    
+    def _analyze_layer_risks(self, layer: MemeticLayer) -> List[str]:
+        """Analyze risks specific to a memetic layer"""
+        risks = {
+            MemeticLayer.SYMBOLIC: ["Rapid obsolescence", "Cultural appropriation"],
+            MemeticLayer.NARRATIVE: ["Narrative collapse", "Contradiction exposure"],
+            MemeticLayer.BEHAVIORAL: ["Habit disruption", "Behavioral extinction"],
+            MemeticLayer.INSTITUTIONAL: ["Institutional reform", "Systemic failure"],
+            MemeticLayer.COGNITIVE: ["Paradigm shift", "Cognitive dissonance"]
+        }
+        return risks.get(layer, [])
+    
+    def _generate_modification_recommendations(self, entity: MemeticEntity) -> List[str]:
+        """Generate recommendations for entity modification"""
+        recommendations = []
+        
+        if entity.coherence < 0.7:
+            recommendations.append("Increase narrative coherence through symbolic alignment")
+        if entity.resilience < 0.6:
+            recommendations.append("Build resilience through multi-layer reinforcement")
+        if not entity.dependencies:
+            recommendations.append("Establish strategic dependencies for stability")
+        
+        return recommendations
+
+# Utility functions
+def create_advanced_analysis_suite():
+    """Create a comprehensive analysis suite instance"""
+    return AdvancedMemeticArchitecture()
+
+def quick_analysis(concept: str) -> Dict[str, Any]:
+    """Quick analysis function for immediate use"""
+    suite = AdvancedMemeticArchitecture()
+    return suite.analyze_memetic_landscape(concept)
+
+def batch_analyze_concepts(concepts: List[str]) -> Dict[str, Any]:
+    """Batch analyze multiple concepts"""
+    suite = AdvancedMemeticArchitecture()
+    results = {}
+    
+    for concept in concepts:
+        results[concept] = suite.analyze_memetic_landscape(concept)
+    
+    return {
+        "batch_analysis": results,
+        "cross_concept_patterns": _find_cross_concept_patterns(results),
+        "strategic_priority": _calculate_strategic_priority(results)
+    }
+
+def _find_cross_concept_patterns(results: Dict[str, Any]) -> List[str]:
+    """Find patterns across multiple concept analyses"""
+    patterns = []
+    
+    # Simplified pattern detection
+    high_threat_count = sum(1 for r in results.values() if r['threat_level']['level'] > 0.7)
+    if high_threat_count > len(results) * 0.5:
+        patterns.append("High concentration of paradigm-challenging concepts")
+    
+    return patterns
+
+def _calculate_strategic_priority(results: Dict[str, Any]) -> List[Tuple[str, float]]:
+    """Calculate strategic priority for concepts"""
+    priorities = []
+    
+    for concept, analysis in results.items():
+        priority = (
+            analysis['threat_level']['level'] * 0.6 +
+            len(analysis['counter_strategies']) * 0.2 +
+            (1 if analysis['firewalls'] else 0) * 0.2
+        )
+        priorities.append((concept, priority))
+    
+    return sorted(priorities, key=lambda x: x[1], reverse=True)
+
+# Example usage and demonstration
+if __name__ == "__main__":
+    print("🧠 ADVANCED MEMETIC ARCHITECTURE ANALYSIS SUITE")
+    print("=" * 50)
+    
+    # Initialize the system
+    memetic_suite = AdvancedMemeticArchitecture()
+    
+    # Demonstrate core functionality
+    print("\n1. ARCHITECTURE EXPOSURE:")
+    architecture = memetic_suite.expose_architecture()
+    print(f"• Core Glyphs: {len(architecture['core_glyphs'])} categories")
+    print(f"• Replacement Patterns: {len(architecture['replacement_patterns'])} types")
+    print(f"• Defense Systems: {len(architecture['defense_firewalls'])} firewalls")
+    
+    print("\n2. CONCEPT ANALYSIS EXAMPLES:")
+    
+    test_concepts = ["consciousness", "freedom", "truth"]
+    
+    for concept in test_concepts:
+        analysis = memetic_suite.analyze_memetic_landscape(concept)
+        print(f"\n📊 Analysis of '{concept}':")
+        print(f"   Threat Level: {analysis['threat_level']['category']} ({analysis['threat_level']['level']:.2f})")
+        print(f"   Firewalls: {len(analysis['firewalls'])} predicted")
+        print(f"   Strategies: {len(analysis['counter_strategies'])} recommended")
+    
+    print("\n3. RESISTANCE STRATEGY GENERATION:")
+    manifesto = memetic_suite.generate_resistance_manifesto(test_concepts)
+    print(f"• Core Principles: {len(manifesto['core_principles'])}")
+    print(f"• Tactical Approaches: {len(manifesto['tactical_approaches'])}")
+    print(f"• Warning Indicators: {len(manifesto['warning_indicators'])}")
+    
+    print("\n4. SIMULATION EXAMPLE:")
+    simulation = memetic_suite.simulate_memetic_penetration("sovereignty", "epistemic_rupture")
+    print(f"• Success Probability: {simulation['success_probability']:.2f}")
+    print(f"• Major Obstacles: {len(simulation['major_obstacles'])}")
+    
+    print("\n🎯 System initialized and ready for memetic analysis.")