"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 17:43:08.359399
"""

```python
from typing import List, Dict, Any


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

    def retrieve_facts(self, query: str) -> List[str]:
        """
        Retrieves facts that match the given query.

        :param query: The query to search for.
        :return: A list of matching facts.
        """
        return [fact for fact in self.knowledge if query.lower() in fact.lower()]

    def infer_statement(self, premises: List[str]) -> str:
        """
        Infers a statement based on the provided premises.

        :param premises: A list of premise statements.
        :return: An inferred statement as a string or None if no inference can be made.
        """
        for i in range(len(premises)):
            for j in range(i + 1, len(premises)):
                fact1 = premises[i]
                fact2 = premises[j]

                # Simple rule-based inference
                if "all" in fact1 and "are" in fact2:
                    combined_fact = f"{fact2.split(' are ')[0]} {fact1.split(' all ')[-1]}"
                    return combined_fact

        return None


def create_reasoning_engine() -> KnowledgeBase:
    """
    Creates a basic reasoning engine that can add facts, retrieve them,
    and infer new statements based on provided premises.

    :return: A KnowledgeBase instance initialized as the reasoning engine.
    """
    knowledge_base = KnowledgeBase()
    # Adding some initial facts
    knowledge_base.add_fact("All birds can fly")
    knowledge_base.add_fact("Penguins are birds")

    return knowledge_base


# Example usage:
if __name__ == "__main__":
    reasoning_engine = create_reasoning_engine()

    print(reasoning_engine.retrieve_facts("birds"))
    # Should print: ['All birds can fly', 'Penguins are birds']

    premises = ["All birds can fly", "Penguins are birds"]
    inferred_statement = reasoning_engine.infer_statement(premises)
    print(inferred_statement)
    # Should print: None, since the inference rule is not directly applicable
```

This code defines a simple knowledge base and a method to infer statements based on premises. The example usage demonstrates adding some facts about birds and inferring a statement that could be derived from those facts.