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Active Inference Institute
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Causal emergence in active inference agents hinges on architectural design, with the global latent $g$ revealing surprising dynamics that challenge conventional interpretations of integrated information.
Identical sensory inputs can be encoded differently by an agent depending on its past experiences, thanks to a novel architecture with a slow-updating "perspective" latent.
