"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 17:06:37.845975
"""

```python
from typing import Dict, List

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 get_facts(self) -> List[str]:
        """Retrieve all facts stored in the knowledge base."""
        return list(self.knowledge.keys())

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

    def infer_conclusion(self, premises: List[str]) -> str:
        """
        Infer a conclusion from given premises using simple logical inference.

        :param premises: A list of strings representing the premises.
        :return: A string representing the inferred conclusion.
        """
        if not all(premise in self.kb.get_facts() for premise in premises):
            raise ValueError("Not all premises are present in the knowledge base.")
        
        # Simple inference logic - for demonstration, let's assume a valid inference is made
        conclusion = f"Inferred: {' and '.join(premises)}"
        return conclusion

    def query_knowledge(self, fact: str) -> bool:
        """
        Check if a specific fact exists in the knowledge base.

        :param fact: A string representing the fact to be queried.
        :return: True if the fact is present, False otherwise.
        """
        return fact in self.kb.get_facts()

def example_usage():
    kb = KnowledgeBase()
    kb.add_fact("All mammals are warm-blooded.")
    kb.add_fact("Dogs are mammals.")
    
    reasoner = ReasoningEngine(kb)
    
    premises = ["All mammals are warm-blooded.", "Dogs are mammals."]
    print(reasoner.infer_conclusion(premises))
    # Output: Inferred: All mammals are warm-blooded. and Dogs are mammals.
    
    print(reasoner.query_knowledge("Dogs are mammals."))
    # Output: True

example_usage()
```

This code defines a simple reasoning engine that can add facts to a knowledge base, infer conclusions from given premises, and query the knowledge base for specific facts. The example usage demonstrates how to use this setup.