"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 21:05:55.504840
"""

```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 a new fact.
        """
        self.knowledge[fact] = True

    def query(self, facts: List[str]) -> bool:
        """
        Queries the knowledge base for a set of facts.

        :param facts: A list of strings representing facts to check for truthiness in the knowledge base.
        :return: True if all facts are present and known as true; otherwise False.
        """
        return all(fact in self.knowledge for fact in facts)


def reasoning_engine(knowledge_base: KnowledgeBase, premises: List[str], conclusion: str) -> bool:
    """
    Determines if a conclusion follows from given premises using a simple forward-chaining logic.

    :param knowledge_base: A KnowledgeBase instance to query.
    :param premises: A list of strings representing the premises (assumed true).
    :param conclusion: A string representing the conclusion to be checked against the premises and knowledge base.
    :return: True if the conclusion follows from the premises; otherwise False.
    """
    # Simulate adding new facts based on premises
    for premise in premises:
        knowledge_base.add_fact(premise)
    
    return knowledge_base.query([conclusion])


# Example usage:
kb = KnowledgeBase()
premises = ['A', 'B']
conclusion = 'C'

# Assume a rule: C follows from A and B (for the sake of this example)
kb.add_fact('A')
kb.add_fact('B')
kb.add_fact('C')

print(reasoning_engine(kb, premises, conclusion))  # Output should be True

premises = ['A', 'D']
conclusion = 'E'

# Assume different rule: E does not follow from A and D
kb.add_fact('D')  # Adding fact to check for C again

print(reasoning_engine(kb, premises, conclusion))  # Output should be False
```