"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-05 23:54:13.506746
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine that can evaluate logical statements based on provided premises.
    """

    def __init__(self):
        self.premises: Dict[str, bool] = {}

    def add_premise(self, premise: str, value: bool) -> None:
        """
        Adds a premise to the reasoning engine.

        :param premise: A string representing the logical statement (e.g., "A and B")
        :param value: The boolean value of the premise
        """
        self.premises[premise] = value

    def evaluate(self, conclusion: str) -> bool:
        """
        Evaluates a given logical conclusion based on current premises.

        :param conclusion: A string representing the logical statement to be evaluated (e.g., "A or B")
        :return: The boolean result of the evaluation
        """
        return eval(conclusion, self.premises)

    def __str__(self) -> str:
        return f"ReasoningEngine with premises: {self.premises}"


# Example usage:

if __name__ == "__main__":
    engine = ReasoningEngine()
    
    # Adding premises
    engine.add_premise("A", True)
    engine.add_premise("B", False)
    
    # Evaluating a conclusion
    result = engine.evaluate("A and B")
    print(f"Conclusion: A and B is {result}")

    # Another example with more complex logic
    engine.add_premise("C", True)
    engine.add_premise("D", True)
    
    result2 = engine.evaluate("(not C) or (B and D)")
    print(f"Conclusion: (not C) or (B and D) is {result2}")
```

This code defines a `ReasoningEngine` class that can add premises as boolean statements and evaluate more complex logical conclusions based on those premises. The example usage demonstrates adding simple premises and evaluating basic logical expressions.