"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 18:19:33.517733
"""

```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 the fact to be added.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = [True]
        else:
            self.knowledge[fact].append(True)

    def query(self, question: str) -> bool:
        """
        Queries the knowledge base for a given question. Returns True if the question is answered affirmatively.
        
        :param question: A string representing the question to be queried.
        :return: Boolean value indicating whether the question has an affirmative answer in the knowledge base.
        """
        return question in self.knowledge


class ReasoningEngine:
    def __init__(self, knowledge_base: KnowledgeBase):
        """
        Initializes a reasoning engine with a provided knowledge base.
        
        :param knowledge_base: An instance of KnowledgeBase containing the facts to be reasoned upon.
        """
        self.knowledge_base = knowledge_base

    def infer(self, premises: List[str], conclusion: str) -> bool:
        """
        Performs simple logical inference based on the given premises and a proposed conclusion.
        
        :param premises: A list of strings representing the premises or facts assumed to be true.
        :param conclusion: A string representing the statement that is inferred from the premises.
        :return: Boolean value indicating whether the conclusion follows logically from the premises.
        """
        # Simple implementation: Check if all premises are in knowledge base and conclusion can be derived
        for premise in premises:
            if not self.knowledge_base.query(premise):
                return False

        # Example simple inference rule (AND logic)
        if len(premises) > 1:
            return all([self.knowledge_base.query(p) for p in premises])
        
        return True


# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("It is raining")
    kb.add_fact("I have an umbrella")

    engine = ReasoningEngine(kb)

    # Simple inference: If it's raining and I have an umbrella, then I can stay dry.
    premises = ["It is raining", "I have an umbrella"]
    conclusion = "I can stay dry"

    result = engine.infer(premises, conclusion)
    print(f"Can you stay dry? {result}")
```

This example demonstrates a simple reasoning engine that uses a knowledge base to perform basic logical inferences based on given premises.