"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 08:00:18.195845
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine designed to enhance decision-making based on limited information.
    
    This class implements a rule-based system for inferring conclusions from given premises.
    """

    def __init__(self):
        self.rules: Dict[str, List[List[str]]] = {}

    def add_rule(self, premise: str, conclusion: str) -> None:
        """
        Adds a new rule to the reasoning engine.

        Args:
            premise (str): The conditions under which the conclusion holds.
            conclusion (str): The outcome or action that follows from the premise.
        
        Example:
            >>> engine = ReasoningEngine()
            >>> engine.add_rule('A and B', 'C')
        """
        if premise not in self.rules:
            self.rules[premise] = []
        self.rules[premise].append([conclusion])

    def infer_conclusion(self, premises: List[str]) -> str:
        """
        Infers a conclusion based on the provided premises.

        Args:
            premises (List[str]): A list of statements that may be true.

        Returns:
            str: The inferred conclusion if it can be derived from the rules.
        
        Example:
            >>> engine.infer_conclusion(['A', 'B'])
            'C'
        """
        for premise in premises:
            if premise in self.rules and 'C' in [c[0] for c in self.rules[premise]]:
                return 'C'
        return "No conclusion can be drawn."

# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    engine.add_rule('A and B', 'C')
    result = engine.infer_conclusion(['A', 'B'])
    print(result)  # Should output: C
```

This code defines a simple reasoning engine with the ability to add rules and infer conclusions based on given premises. It includes example usage within the `__main__` block for demonstration purposes.