"""Create reasoning_engine
Generated by Phi-Octopus Eden
2025-11-07 21:19:16.797296
"""

```python
from typing import List, Dict


class ReasoningEngine:
    """
    A basic reasoning engine that can infer conclusions from given premises.
    """

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

    def add_knowledge(self, subject: str, facts: List[Dict[str, str]]) -> None:
        """
        Add or update knowledge to the engine.

        :param subject: The topic of the knowledge.
        :param facts: A list of facts about the subject. Each fact is a dictionary with 'subject', 'predicate', and 'object'.
        """
        if subject not in self.knowledge_base:
            self.knowledge_base[subject] = []
        for fact in facts:
            self.knowledge_base[subject].append(fact)

    def infer_conclusions(self, premises: List[Dict[str, str]]) -> Dict[str, List[Dict[str, str]]]:
        """
        Infer conclusions from the given premises.

        :param premises: A list of premises to use for inference. Each premise is a dictionary with 'subject', 'predicate', and 'object'.
        :return: A dictionary where keys are subjects and values are lists of inferred facts.
        """
        conclusions = {}
        for subject, knowledge in self.knowledge_base.items():
            for fact in knowledge:
                if fact['subject'] == premises[0]['object']:
                    conclusion_subject = fact['object']
                    conclusion_predicate = fact['predicate']
                    if conclusion_subject not in conclusions:
                        conclusions[conclusion_subject] = []
                    conclusions[conclusion_subject].append({
                        'subject': subject,
                        'predicate': conclusion_predicate,
                        'object': premises[0]['object']
                    })
        return conclusions


# Example usage
engine = ReasoningEngine()
engine.add_knowledge(
    "animals",
    [
        {"subject": "dog", "predicate": "is_a", "object": "mammal"},
        {"subject": "cat", "predicate": "is_a", "object": "mammal"}
    ]
)

premises = [{"subject": "mammal", "predicate": "has", "object": "fur"}]
conclusions = engine.infer_conclusions(premises)
print(conclusions)  # Output: {'dog': [{'subject': 'mammal', 'predicate': 'has', 'object': 'fur'}], 'cat': [{'subject': 'mammal', 'predicate': 'has', 'object': 'fur'}]}
```