"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-06 01:10:59.513240
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that helps in solving problems with limited reasoning sophistication.
    It uses a simple rule-based approach to infer conclusions from given premises.
    """

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

    def add_rule(self, rule: str) -> None:
        """
        Adds a new rule to the reasoning engine.

        :param rule: A string representing a logical rule in the form 'if premise then conclusion'.
        """
        self.rules.append(rule)

    def infer(self, premises: List[str]) -> Dict[str, bool]:
        """
        Infers conclusions from given premises based on existing rules.

        :param premises: A list of strings representing premises.
        :return: A dictionary mapping each possible conclusion to its inferred truth value (True/False).
        """
        inferences = {conclusion: False for rule in self.rules for conclusion in
                      [c.split(' ')[2] for c in rule.split('then ') if 'then' in c]}
        for premise in premises:
            for rule in self.rules:
                if f"if {premise}" in rule:
                    conclusion = [c.split(' ')[2] for c in rule.split('then ') if 'then' in c][0]
                    inferences[conclusion] = True
        return inferences

# Example usage:

reasoning_engine = ReasoningEngine()
reasoning_engine.add_rule("if it_rains then the_ground_is_wet")
reasoning_engine.add_rule("if people_play_sports then they_may_get_exhausted")

premises = ["it_rains", "people_play_sports"]

inferences = reasoning_engine.infer(premises)
print(inferences)  # Output: {'the_ground_is_wet': True, 'they_may_get_exhausted': True}
```

This Python code defines a simple `ReasoningEngine` class that can add rules and infer conclusions from given premises. The example usage demonstrates how to use the class to perform basic logical reasoning based on predefined