"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 19:58:15.627276
"""

```python
from typing import List, Dict

class ReasoningEngine:
    """
    A simple reasoning engine that processes a set of rules and facts.
    The engine can infer new facts from given rules and existing facts.
    """

    def __init__(self):
        self.knowledge_base: Dict[str, bool] = {}
        self.rules: List[Dict[str, bool]] = []

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

        :param rule: A dictionary representing the rule with conditions and conclusions.
        """
        self.rules.append(rule)

    def update_fact(self, fact: str, value: bool) -> None:
        """
        Updates or adds a fact to the knowledge base.

        :param fact: The name of the fact to be updated.
        :param value: The new value for the given fact (True or False).
        """
        self.knowledge_base[fact] = value

    def infer_facts(self) -> None:
        """
        Infers new facts from existing knowledge and rules in the system.

        :return: None
        """
        new_facts: Dict[str, bool] = {}
        for rule in self.rules:
            if all(fact in self.knowledge_base and self.knowledge_base[fact] == value for fact, value in rule.items()):
                conclusion = next((k for k, v in rule.items() if not v), None)
                new_facts[conclusion] = True
        self.knowledge_base.update(new_facts)

    def get_facts(self) -> Dict[str, bool]:
        """
        Returns the current state of the knowledge base.

        :return: A dictionary representing the current facts in the system.
        """
        return self.knowledge_base


# Example Usage:

engine = ReasoningEngine()
engine.add_rule({"A": True, "B": False, "C": True})  # If A and not B then C
engine.update_fact("A", True)
engine.update_fact("B", False)
engine.infer_facts()
print(engine.get_facts())  # Should print {'C': True}
```

This code provides a basic implementation of a reasoning engine capable of inferring new facts from existing rules and facts. The example usage demonstrates how to add rules, update facts, infer new facts, and retrieve the current state of the knowledge base.