| class TwinBrainDeliberator: | |
| """ | |
| Orchestrates the Clustered AI Deliberation Council for consensus building. | |
| """ | |
| def __init__(self): | |
| self.consensus_threshold = 0.85 | |
| self.rounds = 3 | |
| def deliberate(self, proposals): | |
| print(f"Deliberator initiating {self.rounds} rounds of cross-node analysis...") | |
| # Simulated deliberation logic | |
| consensus_score = 0.92 | |
| if consensus_score >= self.consensus_threshold: | |
| return {"status": "CONSENSUS_REACHED", "score": consensus_score, "verdict": "PROCEED"} | |
| else: | |
| return {"status": "QUARANTINED", "score": consensus_score, "verdict": "RE-EVALUATE"} | |
| if __name__ == "__main__": | |
| deliberator = TwinBrainDeliberator() | |
| print(deliberator.deliberate(["Proposal A", "Proposal B"])) | |