"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 15:02:22.570740
"""

```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 fact.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def query(self, question: str) -> List[str]:
        """
        Queries the knowledge base for answers based on the given question.

        :param question: A string representing a question to ask the knowledge base.
        :return: A list of strings containing potential answers.
        """
        return [fact for fact in self.knowledge if question in fact]

def reasoning_engine(facts: List[str]) -> Dict[str, str]:
    """
    Generates a simple reasoning engine that infers new facts from given known facts.

    :param facts: A list of strings representing the initial known facts.
    :return: A dictionary containing inferred facts and their conclusions.
    """
    knowledge_base = KnowledgeBase()
    
    # Add the provided facts to the knowledge base
    for fact in facts:
        knowledge_base.add_fact(fact)
    
    # Define a simple inference rule: if X is true, then Y must also be true
    rules = {
        "X": ["Y"],  # Example inference rule
        "A": ["B"],  # Another example rule
    }
    
    inferred_facts = {}
    
    for fact in facts:
        if fact in rules:
            for conclusion in rules[fact]:
                knowledge_base.add_fact(conclusion)
                inferred_facts[conclusion] = f"Inferred from {fact}"
    
    return inferred_facts

# Example usage
if __name__ == "__main__":
    initial_facts = [
        "X",
        "A"
    ]
    reasoning_results = reasoning_engine(initial_facts)
    for fact, reason in reasoning_results.items():
        print(f"Fact: {fact} (Inferred because of: {reason})")
```

This Python code creates a simple `reasoning_engine` that works with a predefined set of facts and inference rules to generate new inferred facts. The example usage demonstrates how to use the function with a few initial known facts, and it prints out the results along with their reasoning source.