"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 00:15:10.486721
"""

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

    def add_rule(self, rule: str) -> None:
        """Add a new rule to the knowledge base."""
        if any(char.isdigit() for char in rule):
            raise ValueError("Rules should not contain numbers.")
        if rule not in self.knowledge:
            self.knowledge[rule] = []

    def query(self, fact: str) -> List[str]:
        """
        Query the knowledge base with a fact and return all rules that support it.
        
        Args:
            fact (str): The fact to be queried.

        Returns:
            List[str]: A list of supporting rules.
        """
        if fact in self.knowledge:
            return self.knowledge[fact]
        return []

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

    def infer(self, facts: List[str]) -> Dict[str, List[str]]:
        """
        Infer new rules based on a list of known facts.

        Args:
            facts (List[str]): A list of known facts.

        Returns:
            Dict[str, List[str]]: A dictionary where keys are inferred rules and values are lists of supporting facts.
        """
        inference_results = {}
        for fact in facts:
            if self.kb.query(fact):
                continue
            supporting_facts = [f for f in facts if self.kb.query(f) and f != fact]
            if supporting_facts:
                inferred_rule = f"infer_rule_{fact.replace(' ', '_')}"
                inference_results[inferred_rule] = supporting_facts
        return inference_results

# Example usage
if __name__ == "__main__":
    kb = KnowledgeBase()
    kb.add_fact("A")
    kb.add_fact("B")
    kb.add_fact("C")
    
    kb.add_rule("A and B imply C")

    re = ReasoningEngine(kb)
    inferred_rules = re.infer(["A", "B"])
    print(inferred_rules)
```

This Python script introduces a simple reasoning engine that can infer new rules from existing facts in a knowledge base. The `KnowledgeBase` class handles the storage of facts and rules, while the `ReasoningEngine` class uses this knowledge to make inferences based on given facts.