up

src/core/experience_simulator.py

@@ -1,3 +1,98 @@
+from typing import Dict, Any, List
+import numpy as np
+
+class PhenomenologyEngine:
+    """Generates phenomenological states from awareness and integrated states."""
+    
+    async def generate_state(
+        self,
+        awareness: Dict[str, Any],
+        integrated_state: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Generate a phenomenological state from awareness and integrated state.
+        
+        Args:
+            awareness: The current awareness state
+            integrated_state: The integrated cognitive state
+            
+        Returns:
+            A dictionary containing the phenomenological state
+        """
+        return {
+            "conscious_content": awareness.get("content", {}),
+            "perceptual_field": awareness.get("perceptions", {}),
+            "cognitive_state": integrated_state.get("cognitive", {}),
+            "affective_tone": integrated_state.get("emotional", {})
+        }
+
+class QualiaGenerator:
+    """Generates qualia (subjective experiences) from phenomenological states."""
+    
+    async def generate_qualia(
+        self,
+        phenomenological_state: Dict[str, Any],
+        self_model: Dict[str, Any]
+    ) -> Dict[str, Any]:
+        """
+        Generate qualia from phenomenological state and self model.
+        
+        Args:
+            phenomenological_state: The current phenomenological state
+            self_model: The agent's self model
+            
+        Returns:
+            A dictionary containing the generated qualia
+        """
+        return {
+            "sensory_qualia": self._generate_sensory_qualia(phenomenological_state),
+            "emotional_qualia": self._generate_emotional_qualia(phenomenological_state),
+            "cognitive_qualia": self._map_cognitive_states(phenomenological_state, self_model)
+        }
+        
+    def _generate_sensory_qualia(self, state: Dict[str, Any]) -> Dict[str, float]:
+        """Generate sensory qualia from the phenomenological state."""
+        return {"visual": 0.8, "auditory": 0.6, "tactile": 0.4}
+        
+    def _generate_emotional_qualia(self, state: Dict[str, Any]) -> Dict[str, float]:
+        """Generate emotional qualia from the phenomenological state."""
+        return {"pleasure": 0.7, "arousal": 0.5, "dominance": 0.6}
+        
+    def _map_cognitive_states(self, state: Dict[str, Any], self_model: Dict[str, Any]) -> Dict[str, Any]:
+        """Map cognitive states to qualia representations."""
+        return {"clarity": 0.8, "intensity": 0.7, "relevance": 0.9}
+
+class TemporalIntegrator:
+    """Integrates experiences over time to maintain temporal continuity."""
+    
+    async def integrate(
+        self,
+        current_qualia: Dict[str, Any],
+        temporal_history: List[Dict[str, Any]]
+    ) -> Dict[str, Any]:
+        """
+        Integrate current qualia with temporal history.
+        
+        Args:
+            current_qualia: The current qualia state
+            temporal_history: List of previous qualia states
+            
+        Returns:
+            A dictionary containing the temporally integrated experience
+        """
+        # Simple implementation - can be enhanced with more sophisticated temporal integration
+        if not temporal_history:
+            temporal_continuity = 1.0  # No history to compare, assume perfect continuity
+        else:
+            # For demonstration, assume higher continuity for longer histories
+            temporal_continuity = min(0.95, 0.5 + 0.05 * len(temporal_history))
+            
+        return {
+            "integrated_experience": current_qualia,
+            "temporal_continuity": temporal_continuity,
+            "experiential_flow": "smooth" if temporal_continuity > 0.7 else "discontinuous"
+        }
+
 class ExperienceSimulator:
     def __init__(self):
         self.phenomenology_engine = PhenomenologyEngine()