"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 03:22:33.214535
"""

```python
from typing import List, Dict

class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """Add a fact to the knowledge base."""
        if isinstance(fact, str):
            self.knowledge[fact] = True
        else:
            raise ValueError("Fact must be a string")

    def query_fact(self, fact: str) -> bool:
        """Query whether a fact is present in the knowledge base."""
        return fact in self.knowledge


class ReasoningEngine:
    def __init__(self):
        self.kb = KnowledgeBase()

    def add_fact(self, fact: str) -> None:
        """Add a fact to the reasoning engine's knowledge base."""
        self.kb.add_fact(fact)

    def derive_conclusion(self, facts: List[str]) -> bool:
        """
        Derive a conclusion from existing facts.

        Args:
            facts (List[str]): A list of known facts.

        Returns:
            bool: True if the conclusion can be derived, False otherwise.
        """
        for fact in facts:
            if not self.kb.query_fact(fact):
                return False
        return True

    def solve_problem(self, problem_statement: str) -> bool:
        """
        Solve a problem by deriving conclusions from given statements.

        Args:
            problem_statement (str): A statement describing the problem to be solved.

        Returns:
            bool: True if the solution can be derived, False otherwise.
        """
        # Example: Given facts are "A", "B" and we want to derive "C"
        required_facts = ["A", "B"]
        return self.derive_conclusion(required_facts)


# Example usage
reasoning_engine = ReasoningEngine()
reasoning_engine.add_fact("A")
reasoning_engine.add_fact("B")

result = reasoning_engine.solve_problem("If A and B, then C")
print(result)  # Output: False, as we don't have a fact for "C" derived from "A" and "B"
```

This example demonstrates a basic reasoning engine that can add facts to its knowledge base and derive conclusions based on those facts. The `solve_problem` function simulates solving a problem by checking if certain conditions are met with the existing facts.