"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 14:54:09.404796
"""

```python
from typing import List, Dict

class KnowledgeBase:
    def __init__(self):
        self.knowledge = []

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

    def query(self, question: str) -> bool:
        """Check if a question can be answered affirmatively based on current facts."""
        return any(question in fact for fact in self.knowledge)


def create_reasoning_engine(kb: KnowledgeBase) -> List[str]:
    """
    Create a reasoning engine that infers new information from existing knowledge.

    :param kb: An instance of the KnowledgeBase class containing initial facts.
    :return: A list of inferred statements based on the current state of knowledge base.
    """
    inferred_statements = []
    
    # Example rule: If "A is B" and "B is C", then "A is C"
    if 'A is B' in kb.knowledge and 'B is C' in kb.knowledge:
        inferred_statements.append('A is C')
    
    # Example rule: If "X is Y" for any X, Y, then "Y can be X"
    if any(fact.startswith('X is ') for fact in kb.knowledge):
        y_values = {fact.split()[2] for fact in kb.knowledge if fact.startswith('X is ')}
        for y in y_values:
            inferred_statements.append(f'{y} can be X')
    
    return inferred_statements


# Example usage
if __name__ == "__main__":
    # Initialize knowledge base with some initial facts
    kb = KnowledgeBase()
    kb.add_fact("A is B")
    kb.add_fact("B is C")
    kb.add_fact("X is Y")

    # Create reasoning engine and get inferred statements
    inferred_statements = create_reasoning_engine(kb)

    print(f"Inferred statements: {inferred_statements}")
```