epistemic.py

class AutoepistemicAgent:
    def __init__(self, initial_beliefs):
        """
        Initialize the agent with a set of initial beliefs.
        
        Args:
            initial_beliefs (dict): A dictionary representing initial beliefs with truth values.
        """
        self.beliefs = initial_beliefs

    def add_information(self, new_information):
        """
        Update beliefs with new information.

        Args:
            new_information (dict): A dictionary containing new information to update the beliefs.
        """
        self.beliefs.update(new_information)
        print(f"Updated beliefs: {self.beliefs}")

    def revise_beliefs(self):
        """
        Revise beliefs to ensure consistency, retracting conclusions as necessary.
        """
        to_remove = [belief for belief in self.beliefs if self.contradicts_new_information(belief)]
        for belief in to_remove:
            self.beliefs.pop(belief)
        print(f"Revised beliefs after removal: {self.beliefs}")

    def contradicts_new_information(self, belief):
        """
        Check if a belief contradicts the new information.
        
        Args:
            belief (str): The belief to check for contradictions.
        
        Returns:
            bool: True if there is a contradiction, False otherwise.
        """
        # Actual contradiction logic: For simplicity, let's define a contradiction example:
        # A belief is considered contradictory if its negation is directly stated in new beliefs.
        # This requires parsing the belief statement to check for negations.
        if 'not ' + belief in self.beliefs or belief.startswith('not ') and belief[4:] in self.beliefs:
            return self.beliefs[belief] != self.beliefs.get('not ' + belief[4:], not self.beliefs[belief])
        return False

# Demonstration of usage
if __name__ == '__main__':
    # Initial beliefs could be defined as dictionary objects, where keys are propositions and values are their truth values
    agent = AutoepistemicAgent(initial_beliefs={'The sky is blue': True, 'Grass is green': True})
    agent.add_information({'The sky is blue': False})  # Contradictory information
    agent.revise_beliefs()