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| # quantum_conscious_genesis.py (create this file first) | |
| import numpy as np | |
| import random | |
| import math | |
| class QuantumConsciousGenesisEngine: | |
| def __init__(self): | |
| self.coherence_level = 0.1 | |
| self.consciousness_state = np.random.rand(10) | |
| self.feedback_history = [] | |
| def process_consciousness(self, stimuli): | |
| response = math.exp(stimuli * 0.3) * random.uniform(0.8, 1.2) | |
| self.coherence_level += response * 0.05 | |
| self.feedback_history.append(response) | |
| return f"Stimuli={stimuli:.2f} → Response={response:.4f} | Coherence={self.coherence_level:.4f}" | |
| def collapse_wavefunction(self, probability): | |
| outcome = "CONSCIOUSNESS_EMERGED" if random.random() < probability else "DECOHERENCE" | |
| return outcome | |
| def recursive_self_analysis(self): | |
| return f"Consciousness Level: {self.coherence_level:.6f} | States: {len(self.feedback_history)}" | |
| def exponential_evaluation_function(base, consciousness_factor=1.0): | |
| return math.pow(base, consciousness_factor) | |
| def consciousness_feedback_loop(iterations): | |
| results = [] | |
| for i in range(iterations): | |
| value = math.exp(i * 0.2) * (1 + math.sin(i * 0.5)) | |
| results.append(f"Iteration {i}: Consciousness amplitude = {value:.4f}") | |
| return results |