"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 16:13:58.104555
"""

```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.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def add_rule(self, rule: List[str]) -> None:
        """
        Adds a new rule to the knowledge base. Each rule is represented as a list of facts.

        :param rule: A list of strings representing the rule.
        """
        for fact in rule:
            self.add_fact(fact)

    def infer(self, known_facts: List[str]) -> Dict[str, bool]:
        """
        Infers new conclusions based on existing knowledge and provided facts.

        :param known_facts: A list of strings representing the known facts.
        :return: A dictionary where keys are inferred facts and values are boolean indicating truth value.
        """
        inferences = {}
        for fact in known_facts:
            if fact in self.knowledge:
                inferences[fact] = True
            else:
                for rule in self.knowledge.values():
                    if all(f in inferences for f in rule) and fact not in inferences:
                        inferences[fact] = True
        return {k: v for k, v in inferences.items() if v}


def create_reasoning_engine(kb_facts: List[str], kb_rules: List[List[str]]) -> KnowledgeBase:
    """
    Creates a reasoning engine using provided facts and rules.

    :param kb_facts: A list of strings representing the initial facts.
    :param kb_rules: A list of lists, where each inner list represents a rule with facts.
    :return: An instance of KnowledgeBase initialized with given facts and rules.
    """
    engine = KnowledgeBase()
    for fact in kb_facts:
        engine.add_fact(fact)
    
    for rule in kb_rules:
        engine.add_rule(rule)
    
    return engine


# Example usage
if __name__ == "__main__":
    knowledge_base = create_reasoning_engine(
        kb_facts=["A", "B"],
        kb_rules=[["C", "A"], ["D", "B"], ["E", "C", "D"]]
    )

    known_facts = ["A", "B"]
    inferences = knowledge_base.infer(known_facts)
    print(inferences)  # Expected output: {'C': True, 'D': True, 'E': True}
```

This Python code defines a simple reasoning engine that can add facts and rules to a knowledge base and infer new conclusions based on the provided known facts. The `create_reasoning_engine` function initializes the KnowledgeBase with given facts and rules, allowing for basic inference capabilities.