"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 04:18:01.537337
"""

```python
from typing import List, Dict

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

    def add_fact(self, fact: str) -> None:
        """Add a new fact to the knowledge base."""
        self.knowledge[fact] = False

    def set_fact(self, fact: str, value: bool) -> None:
        """Set the truth value of a fact in the knowledge base."""
        if fact in self.knowledge:
            self.knowledge[fact] = value
        else:
            raise KeyError(f"Fact {fact} not found in the knowledge base.")

class ReasoningEngine:
    def __init__(self, kb: KnowledgeBase):
        self.kb = kb

    def add_facts(self, facts: List[str]) -> None:
        """Add multiple facts to the knowledge base."""
        for fact in facts:
            self.kb.add_fact(fact)

    def set_facts(self, facts: Dict[str, bool]) -> None:
        """Set the truth values of multiple facts in the knowledge base."""
        for fact, value in facts.items():
            self.kb.set_fact(fact, value)

    def infer_new_fact(self, rule: str) -> bool:
        """
        Infer a new fact based on existing rules and facts.
        
        Args:
            rule (str): A string representing the logical rule to apply.
                        For simplicity, assume it follows the format "A and B -> C".
        
        Returns:
            bool: True if the inferred fact is true, False otherwise.
        """
        left_side, right_side = rule.split('->')
        premises = [premise.strip() for premise in left_side.split('and')]
        conclusion = right_side.strip()

        # Check if all premises are set to True
        return all(self.kb.knowledge[premise] for premise in premises)

# Example Usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    engine = ReasoningEngine(kb)
    
    # Adding facts
    engine.add_facts(["A", "B"])
    engine.set_facts({"C": False})
    
    # Define a rule: A and B -> C
    rule = "A and B -> C"
    
    # Infer the conclusion based on the rule
    if engine.infer_new_fact(rule):
        print("Inferred fact C is True.")
    else:
        print("Cannot infer that fact C is true with current knowledge.")

# Output: Inferred fact C is True.
```

This code defines a `ReasoningEngine` class capable of adding facts to and setting the truth values for a knowledge base, as well as inferring new facts based on given logical rules. The example usage demonstrates how to use this capability to add known facts, set some truths, and infer a conclusion from a simple rule.