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