Create models/master_agent.py

models/master_agent.py

@@ -0,0 +1,29 @@
+import torch
+from agents.perception_module import PerceptionAgent
+from agents.decision_module import DecisionAgent
+from agents.action_module import ActionAgent
+
+class MasterAgent:
+    def __init__(self, config):
+        self.perception_agent = PerceptionAgent(config)
+        self.decision_agent = DecisionAgent(config)
+        self.action_agent = ActionAgent(config)
+        self.reinforcement_learning = config.get("reinforcement_learning", True)
+
+    def forward(self, inputs):
+        # Process inputs through the perception agent
+        perception_output = self.perception_agent(inputs)
+        
+        # Pass perception results to decision agent
+        decision_output = self.decision_agent(perception_output)
+        
+        # Execute the chosen action
+        action_output = self.action_agent(decision_output)
+        
+        return action_output
+
+    def learn(self, feedback):
+        # Implement reinforcement learning logic to adjust task allocation
+        if self.reinforcement_learning:
+            # Update sub-agent weights based on feedback
+            pass