"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 11:46:26.283992
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A simple reasoning engine that processes a set of rules and applies them to solve specific problems.
    """

    def __init__(self):
        self.rules = []
        self.knowledge_base: Dict[str, bool] = {}

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

        :param rule: A string representing a logical rule in implication form (if-then).
        """
        self.rules.append(rule)

    def set_fact(self, fact: str, value: bool = True) -> None:
        """
        Sets a known fact within the knowledge base.

        :param fact: The name of the fact.
        :param value: The truth value of the fact (default is True).
        """
        self.knowledge_base[fact] = value

    def query(self, query_fact: str) -> bool:
        """
        Queries if a given fact is true based on current knowledge and rules.

        :param query_fact: The name of the fact to be queried.
        :return: True if the fact is concluded as true; False otherwise.
        """
        return self.knowledge_base.get(query_fact, False)

    def apply_rules(self) -> None:
        """
        Applies all defined rules to update knowledge in the knowledge base based on current facts.
        """
        for rule in self.rules:
            parts = rule.replace(" ", "").split('->')
            if len(parts) != 2:
                raise ValueError(f"Invalid rule format: {rule}")
            antecedent, consequent = parts[0], parts[1]
            if all(self.knowledge_base.get(part.strip(), False) for part in antecedent.split("&")):
                self.set_fact(consequent, True)
                print(f"Set fact {consequent} to True based on rule: {rule}")

    def solve_problem(self, problem: str) -> bool:
        """
        Solves a specific problem by applying rules and querying facts.

        :param problem: A string representing the conditions of the problem.
        :return: True if the problem can be solved according to the current knowledge; False otherwise.
        """
        # Example problem setup
        self.set_fact("A", "True")
        self.set_fact("B", "False")

        # Define rules
        self.add_rule("A -> C")
        self.add_rule("B & A -> D")

        # Apply rules and check solution
        self.apply_rules()
        return self.query(problem)


# Example usage:
reasoning_engine = ReasoningEngine()
result = reasoning_engine.solve_problem("D")
print(f"Problem solved: {result}")  # Expected output: True

```