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from typing import Dict, Any, List, Optional | |
import numpy as np | |
from .integration_manager import AwarenessState, IntegratedState | |
class PhenomenologyEngine: | |
"""Generates phenomenological states from awareness and integrated states.""" | |
async def generate_state( | |
self, | |
awareness: AwarenessState, | |
integrated_state: IntegratedState | |
) -> 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": getattr(awareness, "cognition_state", {}), | |
"perceptual_field": getattr(awareness, "perception_data", {}), | |
"cognitive_state": getattr(integrated_state, "cognitive_state", {}), | |
"affective_tone": {"valence": getattr(awareness, "emotional_valence", 0.0)} | |
} | |
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() | |
self.qualia_generator = QualiaGenerator() | |
self.temporal_integrator = TemporalIntegrator() | |
async def simulate( | |
self, | |
awareness: AwarenessState, | |
integrated_state: IntegratedState, | |
self_model: Dict[str, Any] | |
) -> Dict[str, Any]: | |
""" | |
Simulate subjective experience based on awareness and integrated states. | |
Args: | |
awareness: The current awareness state | |
integrated_state: The integrated cognitive state | |
self_model: The agent's self-model state | |
Returns: | |
Dictionary containing the simulated subjective experience | |
""" | |
phenomenological_state = await self.phenomenology_engine.generate_state( | |
awareness, | |
integrated_state | |
) | |
qualia = await self.qualia_generator.generate_qualia( | |
phenomenological_state, | |
self_model | |
) | |
temporal_context = await self.temporal_integrator.integrate( | |
qualia, | |
self_model.get('temporal_history', []) | |
) | |
return { | |
'subjective_experience': qualia, | |
'temporal_context': temporal_context, | |
'phenomenological_state': phenomenological_state | |
} | |