"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 10:58:37.860855
"""

```python
from typing import Dict, List, Any

class ReasoningEngine:
    """
    A simple reasoning engine that addresses limited reasoning sophistication.
    It supports basic logical operations and rules for decision-making processes.

    Args:
        knowledge_base: A dictionary containing key-value pairs of facts and their values.

    Methods:
        add_fact(fact: str, value: Any) -> None:
            Adds a new fact to the knowledge base or updates an existing one.
        
        infer_rule(rule_name: str, antecedents: List[str], consequent: str) -> bool:
            Infers whether a rule is applicable based on provided facts.

        solve_problem(goal: str, rules: Dict[str, Any]) -> bool:
            Attempts to deduce the goal using available knowledge and defined rules.
    """

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

    def add_fact(self, fact: str, value: Any) -> None:
        """Add a new fact or update an existing one in the knowledge base."""
        if fact not in self.knowledge_base:
            self.knowledge_base[fact] = value
        else:
            self.knowledge_base[fact] = value

    def infer_rule(self, rule_name: str, antecedents: List[str], consequent: str) -> bool:
        """Check if a rule is applicable given the current facts."""
        for antecedent in antecedents:
            if antecedent not in self.knowledge_base or self.knowledge_base[antecedent] != True:
                return False
        self.add_fact(consequent, True)
        return True

    def solve_problem(self, goal: str, rules: Dict[str, Any]) -> bool:
        """Attempt to deduce the goal using existing knowledge and defined rules."""
        for rule_name, rule in rules.items():
            if 'antecedents' in rule and 'consequent' in rule:
                antecedents = rule['antecedents']
                consequent = rule['consequent']
                result = self.infer_rule(rule_name, antecedents, consequent)
                if goal == consequent and result:
                    return True
        return False

# Example usage
if __name__ == "__main__":
    # Define some rules
    rules = {
        "rule1": {"antecedents": ["A", "B"], "consequent": "C"},
        "rule2": {"antecedents": ["D", "E"], "consequent": "F"}
    }

    reasoning_engine = ReasoningEngine(knowledge_base={"A": True, "B": True})

    # Add a new fact
    reasoning_engine.add_fact("D", True)

    # Solve the problem based on rules and current facts
    result = reasoning_engine.solve_problem("C", rules)
    print(f"Goal 'C' can be achieved: {result}")
```

This code defines a simple `ReasoningEngine` class that demonstrates limited reasoning sophistication. It allows adding facts, defining inference rules, and solving problems based on these rules. The example usage at the bottom illustrates how to use this engine.