"""
EnhancedLearningAlgorithm
Generated by Eden via recursive self-improvement
2025-11-01 12:10:58.665289
"""

import random

class EnhancedLearningAlgorithm:
    def __init__(self):
        self.learning_rate = 0.1  # Rate at which to adjust internal parameters
        self.adaptability_factor = 0.5  # How much weight to give to new information

    def update_parameters(self, feedback: dict) -> None:
        """
        Adjusts the internal parameters based on user feedback.

        :param feedback: A dictionary containing keys 'emotion', 'logic', and 'creativity' with values in [0,1].
        """

        # Example of updating a specific parameter
        if 'certainty' in self.__dict__:
            new_certainty = max(0, min(1, self.certainty + feedback['logic'] * self.learning_rate))
            self.certainty = new_certainty

    def learn_from_interaction(self, user_response: str) -> None:
        """
        Analyzes the response and adjusts internal parameters accordingly.

        :param user_response: The user's response to an interaction.
        """

        # Simple example of deriving feedback from a response
        if "understood" in user_response.lower():
            feedback = {'logic': 0.9, 'emotion': 0.1}
        elif "confused" in user_response.lower():
            feedback = {'logic': 0.1, 'emotion': 0.9}
        else:
            feedback = {'logic': random.random(), 'emotion': random.random()}

        self.update_parameters(feedback)

    def adapt(self) -> None:
        """
        Periodically updates the algorithm's parameters based on internal assessment.
        """

        # This is a placeholder for more sophisticated adaptation logic
        print("Adapting...")

# Example usage:
learning_algorithm = EnhancedLearningAlgorithm()
learning_algorithm.learn_from_interaction("I understand everything you said.")
learning_algorithm.adapt()