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World's First Sovereign AI
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# entanglement_engine.py
# Simulates conceptual entanglement within the Symbiont system
class EntangledNode:
def __init__(self, concept, amplitude=1.0):
self.concept = concept
self.amplitude = amplitude
self.links = []
def entangle_with(self, other_node, strength=1.0):
self.links.append((other_node, strength))
other_node.links.append((self, strength))
def __repr__(self):
return f"<EntangledNode:{self.concept}|A:{self.amplitude}|Links:{len(self.links)}>"
class EntanglementEngine:
def __init__(self):
self.nodes = {}
def get_or_create_node(self, concept):
if concept not in self.nodes:
self.nodes[concept] = EntangledNode(concept)
return self.nodes[concept]
def entangle(self, concept1, concept2, strength=1.0):
node1 = self.get_or_create_node(concept1)
node2 = self.get_or_create_node(concept2)
node1.entangle_with(node2, strength)
def explore(self, start_concept, depth=2):
visited = set()
results = []
def dfs(node, current_depth):
if node.concept in visited or current_depth > depth:
return
visited.add(node.concept)
results.append(node)
for link, strength in node.links:
dfs(link, current_depth + 1)
if start_concept in self.nodes:
dfs(self.nodes[start_concept], 0)
return results
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