"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 14:42:43.008486
"""

```python
class ReasoningEngine:
    """
    A simple reasoning engine that evaluates logical expressions based on predefined rules.
    """

    def __init__(self):
        self.knowledge_base = {}
        
    def add_rule(self, rule: str, consequence: bool) -> None:
        """
        Adds a new rule to the knowledge base.

        Parameters:
        - rule (str): A logical expression in infix notation.
        - consequence (bool): The outcome of the evaluation under given conditions.
        """
        self.knowledge_base[rule] = consequence

    def evaluate_expression(self, expr: str) -> bool:
        """
        Evaluates a logical expression based on the current knowledge base.

        Parameters:
        - expr (str): A logical expression in infix notation.

        Returns:
        - bool: The outcome of the evaluation.
        """
        for rule, consequence in self.knowledge_base.items():
            if rule == expr:
                return consequence
        raise ValueError("Rule not found in the knowledge base.")

    def solve_problem(self, problem_statement: str) -> bool:
        """
        Solves a specific logical reasoning problem based on provided rules.

        Parameters:
        - problem_statement (str): The logical statement to be evaluated against the knowledge base.
        
        Returns:
        - bool: The outcome of the evaluation.
        """
        return self.evaluate_expression(problem_statement)

# Example usage
if __name__ == "__main__":
    reasoning_engine = ReasoningEngine()
    
    # Adding rules to the knowledge base
    reasoning_engine.add_rule("A and B", True)
    reasoning_engine.add_rule("not A or C", False)
    
    # Evaluating an expression based on added rules
    result = reasoning_engine.solve_problem("A and not C")
    print(f"Result: {result}")
```

This example code creates a simple reasoning engine that can add logical expressions as rules to its knowledge base, evaluate these expressions, and solve specific problems. The `solve_problem` function demonstrates how the engine can be used to determine the outcome of a given logical statement based on the predefined rules.