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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 | |