Figure 1. Interoception in living organisms and artificial agents (IMAGE)
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A living organism can adapt its behavior to unfamiliar conditions while using internal states such as body temperature to guide its priorities. In the brain, internal states contribute to reward processing and influence how sensory information is interpreted. Conventional reinforcement learning typically relies on externally defined rewards, whereas interoceptive AI introduces an internal environment whose state can help guide learning and behavior.
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Institute for Basic Science
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