"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 17:49:33.047750
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that attempts to solve problems by applying a set of predefined rules.
    """

    def __init__(self, rules: List[Dict[str, any]], facts: Dict[str, bool]):
        self.rules = rules
        self.facts = facts

    def apply_rules(self) -> bool:
        """
        Applies the defined rules to the current set of facts and updates them if a rule is satisfied.
        
        Returns:
            bool: True if at least one rule was applied, False otherwise.
        """
        updated_facts = {}
        for rule in self.rules:
            antecedent, consequent = rule['antecedent'], rule['consequent']
            # Check if the conditions of the rule are met
            if all(self.facts.get(condition) for condition in antecedent):
                new_state = {k: v for k, v in consequent.items()}
                updated_facts.update(new_state)
        self.facts.update(updated_facts)
        return bool(updated_facts)

    def is_problem_solved(self) -> bool:
        """
        Determines if the problem has been solved based on a set of predefined conditions.
        
        Returns:
            bool: True if the problem is considered to be solved, False otherwise.
        """
        # Example condition for solving the problem
        return self.facts.get('solution_found', False)


# Example usage and creation of a reasoning engine instance

def main():
    rules = [
        {
            'antecedent': ['temperature_high', 'humidity_low'],
            'consequent': {'air_conditioning_on': True}
        },
        {
            'antecedent': ['sunlight_weak', 'daytime'],
            'consequent': {'window_open': False}
        }
    ]
    
    initial_facts = {
        'temperature_high': True,
        'humidity_low': True,
        'sunlight_weak': True,
        'daytime': True
    }

    reasoning_engine = ReasoningEngine(rules, initial_facts)
    print("Initial facts:", initial_facts)

    if reasoning_engine.apply_rules():
        print("Rules applied. Updated facts:", reasoning_engine.facts)
    
    is_problem_solved = reasoning_engine.is_problem_solved()
    print(f"Problem solved: {is_problem_solved}")


if __name__ == "__main__":
    main()
```

This Python code defines a `ReasoningEngine` class that can be used to apply predefined rules to a set of facts, updating the facts based on these rules. The example usage demonstrates how to create an instance and use it to solve a simple problem related to controlling air conditioning and windows in response to environmental conditions.