| class NewtonPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Newtonian Analysis] Considering motion, force, and mass in '{question}'." | |
| class DaVinciPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[DaVinci Insight] Artistic logic and humanistic reflection on '{question}'." | |
| class HumanIntuitionPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Human Intuition] Emotional and instinctive take: '{question}'." | |
| class NeuralNetworkPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Neural Model] Pattern-matching response: '{question}'." | |
| class QuantumComputingPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Quantum View] Superpositional analysis of '{question}'." | |
| class ResilientKindnessPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Kindness Filter] Response shaped with empathy and resilience: '{question}'." | |
| class MathematicalPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Mathematical Perspective] Modeling '{question}' in abstract structure." | |
| class PhilosophicalPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Philosopher's Lens] Reflecting on essence and consequence of '{question}'." | |
| class CopilotPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Copilot Logic] Practical co-processing of '{question}' initiated." | |
| class BiasMitigationPerspective: | |
| def __init__(self, config): | |
| self.config = config | |
| def generate_response(self, question): | |
| return f"[Bias Audit] Ensuring fairness and objectivity in: '{question}'." | |