"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 18:07:57.523117
"""

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

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

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

    def query(self, question: str) -> bool:
        """Query if a specific fact is in the knowledge base."""
        return question in self.knowledge


class ReasoningEngine:
    """
    A simple reasoning engine that uses a knowledge base to answer questions.

    This engine can only handle binary facts (True/False).
    """

    def __init__(self, kb: KnowledgeBase):
        self.kb = kb

    def infer(self, premise: str, conclusion: str) -> bool:
        """
        Infer the truth of a conclusion based on the given premises.

        :param premise: The known fact.
        :param conclusion: The derived statement to verify.
        :return: True if the conclusion follows from the premise, otherwise False.
        """
        return self.kb.query(conclusion) and self.kb.query(premise)

    def update_knowledge(self, new_facts: Dict[str, bool]) -> None:
        """Update the knowledge base with new facts."""
        for fact, value in new_facts.items():
            self.kb.add_fact(fact)


# Example usage
if __name__ == "__main__":
    # Initialize a knowledge base and reasoning engine
    kb = KnowledgeBase()
    reasoning_engine = ReasoningEngine(kb)

    # Add some initial facts to the knowledge base
    kb.add_fact("It is raining")
    kb.add_fact("I have an umbrella")

    # Test inference based on these facts
    print(reasoning_engine.infer("It is raining", "I have an umbrella"))  # Output: False

    # Update knowledge base with new information
    reasoning_engine.update_knowledge({"I am carrying my backpack": True})

    # Re-test inference after updating knowledge base
    print(reasoning_engine.infer("I am carrying my backpack", "It is raining"))  # Output: False
```

This example demonstrates a basic reasoning engine that can update its knowledge and perform simple logical inferences. The code is structured to handle binary facts and provides an interface for adding new information and querying the knowledge base.