"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-08 05:59:37.113610
"""

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


class ReasoningEngine:
    """
    A simple reasoning engine designed to solve problems with limited sophistication.
    
    This class provides a basic framework for performing logical deductions based on predefined rules and conditions.
    """

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

    def add_knowledge(self, rule_name: str, facts: List[Dict[str, Any]]) -> None:
        """
        Add a set of facts associated with a specific rule to the knowledge base.

        :param rule_name: The name of the rule.
        :param facts: A list of dictionaries containing key-value pairs representing facts.
        """
        self.knowledge_base.setdefault(rule_name, []).extend(facts)

    def deduce(self, rule_name: str) -> List[Dict[str, Any]]:
        """
        Deduce conclusions based on a specific set of rules and the knowledge base.

        :param rule_name: The name of the rule to apply.
        :return: A list of dictionaries containing key-value pairs representing deductions.
        """
        if rule_name not in self.knowledge_base:
            raise ValueError(f"No such rule '{rule_name}' exists in the knowledge base.")
        
        premises = self.knowledge_base[rule_name]
        conclusions = []
        
        for premise in premises:
            # Example logical deduction: If a fact is present, add its negation as a conclusion
            if 'condition' in premise and 'result' in premise:
                condition = premise['condition']
                result = premise['result']
                
                # Check the condition and create a conclusion based on it (simplified)
                if eval(condition):
                    conclusions.append({'negated_condition': f"not {condition}", 'value': result})
        
        return conclusions


# Example usage
if __name__ == "__main__":
    reasoning_engine = ReasoningEngine()
    
    # Adding some knowledge to the engine
    reasoning_engine.add_knowledge(
        "example_rule",
        [
            {'condition': 'x > 5', 'result': -10},
            {'condition': 'y < 3', 'result': 20}
        ]
    )
    
    # Performing a deduction based on the added knowledge
    conclusions = reasoning_engine.deduce("example_rule")
    
    print(conclusions)
```

This code snippet defines a `ReasoningEngine` class that can add and deduce facts based on predefined rules. It includes example usage to illustrate how it works with simple logical conditions.