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from dataclasses import dataclass
from typing import Dict, Any
@dataclass
class MonitoringState:
cognitive_load: float
attention_focus: Dict[str, float]
processing_efficiency: float
error_detection: Dict[str, Any]
learning_progress: float
class MetaCognitiveMonitor:
def __init__(self):
self.current_state = MonitoringState(
cognitive_load=0.0,
attention_focus={},
processing_efficiency=1.0,
error_detection={},
learning_progress=0.0
)
def analyze(self, current_state):
self._assess_cognitive_load(current_state)
self._track_attention_allocation(current_state)
self._monitor_processing_efficiency(current_state)
self._detect_errors(current_state)
self._evaluate_learning(current_state)
return self.current_state
def _assess_cognitive_load(self, current_state):
# Implementation for cognitive load assessment
pass
def _track_attention_allocation(self, current_state):
# Implementation for attention allocation tracking
pass
def _monitor_processing_efficiency(self, current_state):
# Implementation for processing efficiency monitoring
pass
def _detect_errors(self, current_state):
# Implementation for error detection
pass
def _evaluate_learning(self, current_state):
# Implementation for learning evaluation
pass
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