"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 17:51:08.275585
"""

```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 new fact to be added.
        """
        if fact not in self.knowledge:
            self.knowledge[fact] = []

    def retrieve_facts(self, related_fact: str) -> List[str]:
        """
        Retrieves all facts that are related to a given fact.

        :param related_fact: A string representing the fact whose related facts we want.
        :return: A list of strings representing related facts.
        """
        if related_fact in self.knowledge:
            return self.knowledge[related_fact]
        return []

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

        :param rule: A string representing the new rule to be added.
        """
        components = rule.split("->")
        if len(components) == 2:
            self.add_fact(components[0].strip())
            self.add_fact(components[1].strip())

    def infer_conclusions(self, known_facts: List[str]) -> Dict[str, bool]:
        """
        Infers conclusions based on the given facts.

        :param known_facts: A list of strings representing the known facts.
        :return: A dictionary where keys are inferred conclusions and values are boolean indicating validity.
        """
        conclusions = {}
        for fact in known_facts:
            related_facts = self.retrieve_facts(fact)
            if len(related_facts) > 0:
                for related_fact in related_facts:
                    if related_fact not in conclusions:
                        conclusions[related_fact] = True
                    else:
                        conclusions[related_fact] = False
        return conclusions


# Example usage:

knowledge_base = KnowledgeBase()

# Adding facts and rules to the knowledge base
knowledge_base.add_fact("A")
knowledge_base.add_fact("B")
knowledge_base.add_fact("C")

knowledge_base.add_rule("A -> B")
knowledge_base.add_rule("B -> C")

# Inference based on known facts
conclusions = knowledge_base.infer_conclusions(["A"])
print(conclusions)  # Expected: {'B': True, 'C': True}
```

This code snippet creates a simple reasoning engine capable of inferring conclusions from given facts and rules. It includes a `KnowledgeBase` class with methods to add facts, retrieve related facts, and infer conclusions based on the provided knowledge base. The example usage demonstrates how to use this reasoning engine in a basic scenario.