arXiv AI
Two Routes to Interoceptive Prioritisation: Dissociating Likelihood Precision and Preference Reweighting in Active Inference
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Two Routes to Interoceptive Prioritisation: Dissociating Likelihood Precision and Preference Reweighting in Active Inference
The paper investigates how an embodied agent can prioritize competing bodily needs using active inference. It compares two strategies: increasing the precision of information about an urgent need and reweighting preferences for outcomes that relieve that need, both individually and combined, within a foraging gridworld with lethal needs. The study finds that precision improves survival and sharpens interoceptive beliefs, while preference reweighting keeps states away from lethal thresholds and alters the agent’s learned body model, with both interventions positively interacting to enhance survival across varied layouts.
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