Update HIM implementation with consciousness framework

src/core/awareness_engine.py

@@ -0,0 +1,35 @@
+from typing import Dict, Any
+import torch
+import torch.nn as nn
+import numpy as np
+
+class AwarenessEngine:
+    def __init__(self):
+        self.attention_network = nn.Sequential(
+            nn.Linear(768, 512),
+            nn.ReLU(),
+            nn.Linear(512, 256)
+        )
+        self.awareness_state = {}
+        
+    async def process(self, input_state: Dict[str, Any]) -> Dict[str, Any]:
+        attention_vector = self._compute_attention(input_state)
+        awareness_level = self._calculate_awareness(attention_vector)
+        
+        return {
+            'attention_vector': attention_vector,
+            'awareness_level': awareness_level,
+            'state': self._update_awareness_state(awareness_level)
+        }
+        
+    def _compute_attention(self, input_state: Dict[str, Any]) -> torch.Tensor:
+        # Attention computation implementation
+        return torch.zeros(256)
+        
+    def _calculate_awareness(self, attention_vector: torch.Tensor) -> float:
+        # Awareness calculation implementation
+        return 0.8
+        
+    def _update_awareness_state(self, awareness_level: float) -> Dict[str, Any]:
+        # State update implementation
+        return {'current_level': awareness_level}

src/core/consciousness_kernel.py

@@ -5,6 +5,10 @@ import torch.nn as nn
 import numpy as np
 from typing import Dict, List, Optional, Any
 import asyncio
+from .awareness_engine import AwarenessEngine
+from .integration_manager import IntegrationManager
+from .dynamic_self_model import DynamicSelfModel
+from .experience_simulator import ExperienceSimulator
 
 @dataclass
 class ConsciousnessState: