# AGI Capability - Attempt 1
# Created: 2025-10-24 17:17:47.950671

class MetaCognitionAI:
    def __init__(self):
        self.metacognitive_functions = {}
    
    def introspect(self, function_name: str) -> dict:
        # Understand and adjust a given metacognitive function based on performance metrics
        # This is simplified - real AGI would use sophisticated introspection techniques 
        if function_e in self.metacognitive_functions:
            return {'function': function_name, 'performance': self.evaluate(function_name)}
        
    def evaluate(self, function_name: str) -> dict:
        # Evaluate performance metrics of a given metacognitive function
        # Implementation would depend on the specifics of the functions and their intended use-cases in achieving AGI
        pass 
    
    def adjust(self, function_name: str, adjustments: dict) -> None:
        # Make necessary adjustments to a given metacognitive function based on provided information
        if function_e in self.metacognitive_functions:
            for key, value in adjustments.items():
                self.metacognitive_functions[function_name][key] = value 
    
    def explain(self) -> str:
        return f"MetaCognitionAI contains {len(self.metacognitive_functions)} metacognitive functions that are being constantly adjusted for more efficient learning."