"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 22:18:34.589141
"""

```python
from typing import List


class ReasoningEngine:
    """
    A basic reasoning engine for solving problems involving limited reasoning sophistication.
    """

    def __init__(self):
        self.knowledge_base = []

    def add_knowledge(self, knowledge: str) -> None:
        """
        Add a piece of knowledge to the engine's base.

        :param knowledge: The new piece of knowledge as a string.
        """
        self.knowledge_base.append(knowledge)

    def reason_about(self, problem: str) -> List[str]:
        """
        Generate potential solutions based on the current knowledge base and the given problem.

        :param problem: A description of the problem to solve.
        :return: A list of possible reasoning steps or solutions.
        """
        if not self.knowledge_base:
            return ["No knowledge available to reason about the problem."]

        solutions = []
        for item in self.knowledge_base:
            if all(substring in item.lower() for substring in problem.lower().split()):
                solutions.append(f"Considering: {item}")

        # Adding a basic rule-based engine
        if "temperature" in problem and any("weather" in knowledge for knowledge in self.knowledge_base):
            solutions.extend(["Suggest checking local weather forecast.", "Temperature might be variable."])

        return solutions


# Example usage:
if __name__ == "__main__":
    engine = ReasoningEngine()
    engine.add_knowledge("High temperature can affect battery life.")
    engine.add_knowledge("Maintaining proper hydration is crucial during hot days.")
    engine.add_knowledge("Weather changes can impact outdoor activities.")

    problem_description = "How to handle high temperatures in an electronic device?"
    solutions = engine.reason_about(problem_description)

    for solution in solutions:
        print(solution)
```

This example introduces a simple reasoning engine that processes a knowledge base and generates possible solutions based on given problems. The engine checks if the provided problem description contains substrings present in its knowledge base, suggesting relevant responses or rules.