Update cross_domain_reasoning.py

hybrid/cross_domain_reasoning.py

@@ -1 +1,54 @@
-print("Hello World")
+from __future__ import annotations
+
+from dataclasses import dataclass
+from typing import Any, Dict, List, Tuple
+
+
+@dataclass
+class DomainKnowledge:
+    """
+    Container for knowledge specific to a domain.
+
+    Attributes
+    ----------
+    domain : str
+        Name of the knowledge domain (e.g., "biology", "finance").
+    facts : Dict[str, Any]
+        Key-value pairs representing facts or concepts within the domain.
+    """
+    domain: str
+    facts: Dict[str, Any]
+
+
+class CrossDomainReasoner:
+    """
+    Naive cross-domain reasoner that finds overlapping fact keys between domains.
+    """
+    def __init__(self) -> None:
+        self.knowledge: Dict[str, DomainKnowledge] = {}
+
+    def add_knowledge(self, knowledge: DomainKnowledge) -> None:
+        """Register domain knowledge in the reasoner."""
+        self.knowledge[knowledge.domain] = knowledge
+
+    def relate(self, domain_a: str, domain_b: str) -> List[Tuple[str, Tuple[Any, Any]]]:
+        """
+        Relate two domains by finding common fact keys.
+
+        Returns a list of tuples (key, (value_a, value_b)).
+        """
+        facts_a = self.knowledge.get(domain_a)
+        facts_b = self.knowledge.get(domain_b)
+        if not facts_a or not facts_b:
+            return []
+        overlaps: List[Tuple[str, Tuple[Any, Any]]] = []
+        for key in facts_a.facts.keys() & facts_b.facts.keys():
+            overlaps.append((key, (facts_a.facts[key], facts_b.facts[key])))
+        return overlaps
+
+
+if __name__ == "__main__":
+    reasoner = CrossDomainReasoner()
+    reasoner.add_knowledge(DomainKnowledge("biology", {"cell": "basic unit", "DNA": "genetic blueprint"}))
+    reasoner.add_knowledge(DomainKnowledge("computer", {"CPU": "central processor", "memory": "storage", "cell": "memory cell"}))
+    print(reasoner.relate("biology", "computer"))