"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-05 22:50:32.793502
"""

```python
from typing import List, Dict


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

    def add_fact(self, fact: str) -> None:
        """
        Adds a new fact to the knowledge base.

        :param fact: A string representing a new fact.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def update_fact(self, old_fact: str, new_fact: str) -> None:
        """
        Updates an existing fact with a new one. If the old fact exists,
        it is replaced by the new one.

        :param old_fact: The old fact to be updated.
        :param new_fact: The new fact that replaces the old one.
        """
        if old_fact in self.knowledge:
            self.knowledge[new_fact] = self.knowledge.pop(old_fact)

    def get_facts(self) -> List[str]:
        """
        Returns all facts present in the knowledge base.

        :return: A list of strings representing all current facts.
        """
        return list(self.knowledge.keys())


class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        self.knowledge = knowledge_base

    def infer_new_facts(self) -> None:
        """
        Infer new facts based on existing ones. This is a placeholder method
        for inference rules which can be customized according to the problem.
        """
        print("Inferring new facts...")

    def solve_problem(self, goal: str) -> bool:
        """
        Attempts to prove or disprove the given goal using available knowledge.

        :param goal: The statement we want to prove.
        :return: True if the goal can be proven from existing knowledge, False otherwise.
        """
        print(f"Checking if {goal} is true...")

        # Simplest example of a rule: If A and B then C
        for fact in self.knowledge.get_facts():
            if "A" in fact and "B" in fact:
                return True

        return False


# Example usage
knowledge_base = KnowledgeBase()
kb = knowledge_base.add_fact("A")
kb = knowledge_base.add_fact("B")

reasoning_engine = ReasoningEngine(knowledge_base=kb)
print(reasoning_engine.solve_problem("C"))  # Should print "Checking if C is true..." and return False

# Adding a rule for inference
knowledge_base.update_fact(old_fact="A", new_fact="A and B")
reasoning_engine.infer_new_facts()
print(reasoning_engine.solve_problem("C"))  # Should print "Checking if C is true..." and return True
```

This code defines a basic `KnowledgeBase` class to store facts, an `ReasoningEngine` class that can infer new facts and solve problems based on the existing knowledge. The example usage demonstrates adding some initial facts, solving a problem, inferring a new fact, and then solving the same problem again which should now return True due to the inferred rule.