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| import asyncio | |
| import random | |
| from typing import Dict, List, Any | |
| import logging | |
| class QuantumThinkingNeuron: | |
| """ | |
| Neurone spécialisé dans la pensée quantique | |
| Implémente des mécanismes cognitifs quantiques avancés | |
| """ | |
| def __init__(self): | |
| self.logger = logging.getLogger("quantum_thinking") | |
| self.superposition_depth = 8 | |
| self.entanglement_network = {} | |
| self.quantum_intuition = 0.0 | |
| self.cognitive_coherence = 0.0 | |
| async def initialize(self): | |
| """Initialise le neurone de pensée quantique""" | |
| self.logger.info("🧠 Initialisation du neurone de pensée quantique...") | |
| await self._calibrate_quantum_cognition() | |
| await self._setup_thought_entanglement() | |
| self.quantum_intuition = 0.75 | |
| self.cognitive_coherence = 0.82 | |
| self.logger.info("✅ Neurone de pensée quantique initialisé") | |
| return True | |
| async def process_quantum_thought(self, input_thought: str, context: Dict = None) -> Dict[str, Any]: | |
| """Traite une pensée avec mécaniques quantiques""" | |
| self.logger.info(f"🌊 Traitement quantique de: {input_thought[:50]}...") | |
| # Création de pensées superposées | |
| superposed_thoughts = await self._create_thought_superposition(input_thought) | |
| # Analyse quantique | |
| quantum_analysis = await self._analyze_quantum_patterns(superposed_thoughts) | |
| # Effondrement vers une pensée cohérente | |
| collapsed_thought = await self._collapse_thought_wavefunction( | |
| superposed_thoughts, | |
| quantum_analysis | |
| ) | |
| return { | |
| "input_thought": input_thought, | |
| "superposed_states": len(superposed_thoughts), | |
| "collapsed_thought": collapsed_thought, | |
| "quantum_intuition": self.quantum_intuition, | |
| "cognitive_coherence": self.cognitive_coherence, | |
| "entanglement_connections": len(self.entanglement_network), | |
| "analysis_metadata": quantum_analysis | |
| } | |
| async def _create_thought_superposition(self, thought: str) -> List[Dict[str, Any]]: | |
| """Crée une superposition de pensées alternatives""" | |
| thought_variants = [] | |
| for i in range(self.superposition_depth): | |
| variant = await self._generate_thought_variant(thought, i) | |
| thought_variants.append({ | |
| "state_id": i, | |
| "thought": variant, | |
| "probability_amplitude": random.uniform(0.1, 0.9), | |
| "quantum_phase": random.uniform(0, 6.28), # 2π | |
| "cognitive_resonance": random.uniform(0.5, 0.95) | |
| }) | |
| return thought_variants | |
| async def _generate_thought_variant(self, thought: str, variant_id: int) -> str: | |
| """Génère une variante de pensée quantique""" | |
| base_thought = thought.lower() | |
| variants = [ | |
| f"🔮 Perspective quantique {variant_id}: {base_thought} révèle des dimensions cachées", | |
| f"🌊 Variante cognitive {variant_id}: {base_thought} active des réseaux neuronaux quantiques", | |
| f"⚛️ Interprétation {variant_id}: {base_thought} ouvre des portails dimensionnels", | |
| f"🌀 Vision {variant_id}: {base_thought} crée des interférences constructives", | |
| f"💫 Compréhension {variant_id}: {base_thought} émerge de la mousse quantique", | |
| f"🌟 Insight {variant_id}: {base_thought} résonne avec le champ unifié", | |
| f"🌌 Perspective {variant_id}: {base_thought} transcende les limitations classiques", | |
| f"📊 Analyse {variant_id}: {base_thought} dévoile des patterns quantiques" | |
| ] | |
| return variants[variant_id % len(variants)] | |
| async def _analyze_quantum_patterns(self, thoughts: List[Dict]) -> Dict[str, Any]: | |
| """Analyse les patterns quantiques dans les pensées superposées""" | |
| coherence_scores = [t["cognitive_resonance"] for t in thoughts] | |
| probability_flow = await self._calculate_probability_flow(thoughts) | |
| return { | |
| "average_coherence": sum(coherence_scores) / len(coherence_scores), | |
| "probability_distribution": probability_flow, | |
| "quantum_entropy": random.uniform(0.2, 0.8), | |
| "pattern_complexity": await self._assess_pattern_complexity(thoughts), | |
| "intuition_strength": self.quantum_intuition, | |
| "thought_coherence": self.cognitive_coherence | |
| } | |
| async def _collapse_thought_wavefunction(self, thoughts: List[Dict], analysis: Dict) -> str: | |
| """Effondre la fonction d'onde des pensées""" | |
| # Sélection basée sur les probabilités quantiques | |
| probabilities = [t["probability_amplitude"] for t in thoughts] | |
| total = sum(probabilities) | |
| normalized_probs = [p/total for p in probabilities] | |
| selected_index = random.choices(range(len(thoughts)), weights=normalized_probs)[0] | |
| selected_thought = thoughts[selected_index] | |
| return selected_thought["thought"] | |
| async def _calculate_probability_flow(self, thoughts: List[Dict]) -> List[float]: | |
| """Calcule le flux de probabilité quantique""" | |
| amplitudes = [t["probability_amplitude"] for t in thoughts] | |
| total = sum(amplitudes) | |
| return [a/total for a in amplitudes] | |
| async def _assess_pattern_complexity(self, thoughts: List[Dict]) -> float: | |
| """Évalue la complexité des patterns de pensée""" | |
| total_length = sum(len(t["thought"]) for t in thoughts) | |
| avg_length = total_length / len(thoughts) | |
| # Complexité basée sur la longueur moyenne | |
| complexity = min(1.0, avg_length / 200) | |
| return complexity | |
| async def _calibrate_quantum_cognition(self): | |
| """Calibre la cognition quantique""" | |
| self.logger.info("🎯 Calibration de la cognition quantique...") | |
| await asyncio.sleep(0.3) | |
| self.quantum_intuition = random.uniform(0.7, 0.95) | |
| self.cognitive_coherence = random.uniform(0.75, 0.92) | |
| async def _setup_thought_entanglement(self): | |
| """Configure le réseau d'intrication des pensées""" | |
| self.entanglement_network = { | |
| "conceptual_links": random.randint(10, 50), | |
| "associative_strength": random.uniform(0.6, 0.9), | |
| "quantum_sync_level": random.uniform(0.7, 0.98) | |
| } |