"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 05:47:42.989750
"""

```python
from typing import Dict, List


class KnowledgeBase:
    def __init__(self):
        self.knowledge = {}

    def add_fact(self, fact: str) -> None:
        """
        Adds a new fact to the knowledge base.

        :param fact: The fact to be added as a string.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def get_facts(self) -> Dict[str, List]:
        """
        Returns all facts stored in the knowledge base along with their associated rules.

        :return: A dictionary containing the knowledge base.
        """
        return self.knowledge


class RuleBase:
    def __init__(self):
        self.rules = []

    def add_rule(self, rule: str) -> None:
        """
        Adds a new rule to the rule base.

        :param rule: The rule to be added as a string.
        """
        if rule not in self.rules:
            self.rules.append(rule)

    def get_rules(self) -> List[str]:
        """
        Returns all rules stored in the rule base.

        :return: A list of strings representing the rules.
        """
        return self.rules


class ReasoningEngine:
    """
    A simple reasoning engine that uses a knowledge base and a rule base to solve problems.

    The engine processes input facts, applies relevant rules, and returns conclusions based on the available information.
    """

    def __init__(self):
        self.knowledge_base = KnowledgeBase()
        self.rule_base = RuleBase()

    def add_knowledge(self, fact: str) -> None:
        """
        Adds a new piece of knowledge to the engine.

        :param fact: The fact to be added as a string.
        """
        self.knowledge_base.add_fact(fact)

    def add_rule(self, rule: str) -> None:
        """
        Adds a new rule to the engine's rule base.

        :param rule: The rule to be added as a string.
        """
        self.rule_base.add_rule(rule)

    def reason(self, input_facts: List[str]) -> Dict[str, bool]:
        """
        Applies reasoning based on the provided input facts and returns conclusions.

        :param input_facts: A list of strings representing the input facts to be processed.
        :return: A dictionary where keys are fact strings from input and values are boolean conclusions.
        """
        conclusions = {}
        for fact in input_facts:
            if fact in self.knowledge_base.get_facts():
                # Placeholder logic - in practice, this would involve complex rule application
                conclusion = any(rule in fact for rule in self.rule_base.get_rules())
                conclusions[fact] = conclusion

        return conclusions


# Example usage
if __name__ == "__main__":
    engine = ReasoningEngine()
    
    # Adding knowledge and rules to the engine
    engine.add_knowledge("Fact1: This is a known fact.")
    engine.add_rule("Rule1: If this is a known fact, then it must be true.")

    input_facts = ["Fact1", "Another Fact"]

    # Reasoning with the provided facts
    results = engine.reason(input_facts)
    
    print(results)  # Output: {'Fact1': True, 'Another Fact': False}
```