""" 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} ā†’ {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("šŸ§  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"ā€¢ Core Glyphs: {len(architecture['core_glyphs'])} categories") print(f"ā€¢ Replacement Patterns: {len(architecture['replacement_patterns'])} types") print(f"ā€¢ 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"\nšŸ“Š 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"ā€¢ Core Principles: {len(manifesto['core_principles'])}") print(f"ā€¢ Tactical Approaches: {len(manifesto['tactical_approaches'])}") print(f"ā€¢ Warning Indicators: {len(manifesto['warning_indicators'])}") print("\n4. SIMULATION EXAMPLE:") simulation = memetic_suite.simulate_memetic_penetration("sovereignty", "epistemic_rupture") print(f"ā€¢ Success Probability: {simulation['success_probability']:.2f}") print(f"ā€¢ Major Obstacles: {len(simulation['major_obstacles'])}") print("\nšŸŽÆ System initialized and ready for memetic analysis.")