"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-05 21:50:47.490955
"""

```python
from typing import List, Dict

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

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

    def query(self, fact: str) -> bool:
        """Query if a fact is true in the knowledge base."""
        return self.knowledge.get(fact, False)


def build_rule_engine(rules: List[Dict[str, any]]) -> Dict[str, any]:
    """
    Build a rule engine from given rules.

    :param rules: A list of dictionaries defining the rules.
                  Each dictionary contains conditions and actions.
    :return: A dictionary representing the built rule engine.
    """
    return {rule['condition']: rule['action'] for rule in rules}


def apply_rules(rule_engine: Dict[str, any], knowledge_base: KnowledgeBase) -> None:
    """
    Apply rules from a rule engine to the knowledge base.

    :param rule_engine: A dictionary of rules.
    :param knowledge_base: An instance of KnowledgeBase containing facts.
    """
    for condition, action in rule_engine.items():
        if all(knowledge_base.query(fact) for fact in condition.split() if knowledge_base.query(fact)):
            print(f"Applying action: {action}")


def reasoning_engine():
    """
    Create a simple reasoning engine to solve the problem of limited reasoning sophistication.

    The engine uses a knowledge base and rule engine to make decisions based on known facts.
    """
    kb = KnowledgeBase()
    kb.add_fact('fact1', True)
    kb.add_fact('fact2', False)

    rules = [
        {'condition': 'fact1 fact3', 'action': 'Take action 1'},
        {'condition': 'fact2', 'action': 'Do nothing'}
    ]

    rule_engine = build_rule_engine(rules)
    apply_rules(rule_engine, kb)


# Example usage
if __name__ == "__main__":
    reasoning_engine()
```

This code defines a simple reasoning engine that uses a knowledge base and a rule engine to make decisions based on known facts. The `KnowledgeBase` class manages the storage of facts, while the `build_rule_engine` function constructs a dictionary from rules defined as dictionaries. The `apply_rules` function then applies these rules to the knowledge base. The example usage at the end demonstrates how to use this capability.