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| # src/modules/pse.py | |
| # Placeholder implementation of the Predictive Simulation Engine. | |
| from .base_module import SpecializedCognitiveModule | |
| from src.utils.logger import log | |
| import time | |
| class PredictiveSimulationEngine(SpecializedCognitiveModule): | |
| """ | |
| SCM specializing in running high-fidelity, predictive simulations. | |
| """ | |
| def __init__(self): | |
| super().__init__("PSE", "Predictive Simulation Engine") | |
| def get_capabilities(self): | |
| """Reports this module's skills to the CRC.""" | |
| return ['simulation', 'forecast', 'predict', 'model', 'what-if'] | |
| def execute(self, sub_task, data=None): | |
| """Executes simulation tasks.""" | |
| log(self.name, "Initializing predictive model and running simulation...") | |
| time.sleep(2.5) # Simulate a complex simulation run | |
| result = "Simulation complete. Forecast indicates a 15% market shift with 85% confidence." | |
| log(self.name, f"Sub-task finished. Result: '{result}'") | |
| return result | |