"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 06:43:40.604330
"""

```python
from typing import List, Dict

class KnowledgeBase:
    """A simple knowledge base class for storing facts and rules."""
    def __init__(self):
        self.facts: List[str] = []
        self.rules: Dict[str, List[str]] = {}
    
    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        self.facts.append(fact)
    
    def add_rule(self, rule_name: str, premises: List[str]) -> None:
        """Add a new rule with its premises."""
        self.rules[rule_name] = premises

def reasoning_engine(kb: KnowledgeBase) -> Dict[str, bool]:
    """
    A simple reasoning engine that checks if the conclusion can be derived from the given facts and rules.
    
    :param kb: An instance of the KnowledgeBase class containing all relevant information.
    :return: A dictionary with conclusions as keys and boolean values indicating whether they are derivable or not.
    """
    conclusions = {}
    for rule_name, premises in kb.rules.items():
        derived = True
        for premise in premises:
            if premise not in kb.facts:
                derived = False
                break
        conclusions[rule_name] = derived
    
    return conclusions

# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    
    # Adding facts to the knowledge base
    kb.add_fact("All mammals are animals.")
    kb.add_fact("Dogs are mammals.")
    
    # Adding rules to the knowledge base
    kb.add_rule("Dogs are animals", ["All mammals are animals.", "Dogs are mammals."])
    
    # Running the reasoning engine
    results = reasoning_engine(kb)
    print(results)  # Expected output: {'Dogs are animals': True}
```

This code defines a simple knowledge base and a reasoning engine that checks if rules can be derived from given facts. The example usage demonstrates how to use these components to check a logical conclusion based on provided statements.