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c16cd83 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 | 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)
} |