"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 09:12:59.254916
"""

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

    def query(self, question: str) -> List[str]:
        """Query the knowledge base for relevant facts that answer the question."""
        relevant_facts = []
        for fact in self.knowledge:
            if question in fact or any(question in sentence for sentence in self.knowledge[fact]):
                relevant_facts.append(fact)
        return relevant_facts

class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        self.knowledge_base = knowledge_base
        self.reasoning_rules = []

    def add_rule(self, rule: str) -> None:
        """Add a new reasoning rule to the engine."""
        if rule not in self.reasoning_rules:
            self.reasoning_rules.append(rule)

    def infer(self, query: str) -> List[str]:
        """
        Use the knowledge base and reasoning rules to infer answers.
        
        Args:
            query (str): The question or statement to reason about.

        Returns:
            List[str]: A list of inferred facts that answer the query.
        """
        relevant_facts = self.knowledge_base.query(query)
        inferred_facts = []
        for fact in relevant_facts:
            for rule in self.reasoning_rules:
                if all(word in fact or any(word in sentence for sentence in self.knowledge_base.knowledge[fact]) for word in rule.split()):
                    inferred_facts.append(fact)
        return list(set(inferred_facts))  # Remove duplicates

# Example usage
if __name__ == "__main__":
    knowledge = KnowledgeBase()
    knowledge.add_fact("The sky is blue.")
    knowledge.add_fact("Birds fly in the sky.")

    reasoning_engine = ReasoningEngine(knowledge)
    reasoning_engine.add_rule("sky and blue")
    reasoning_engine.add_rule("fly and bird")

    question = "What can be seen that involves birds?"
    answers = reasoning_engine.infer(question)

    print(f"Answers: {answers}")
```

This code defines a simple `ReasoningEngine` class which uses a `KnowledgeBase` to infer answers based on predefined rules. The example usage demonstrates how the engine can answer questions about visible objects in relation to birds and sky color.