#frAIday: Simulating Emotions - as manifestations of Temporal Difference assessment in RL
Feb
14

#frAIday: Simulating Emotions - as manifestations of Temporal Difference assessment in RL

This talk proposes a Temporal Difference Reinforcement Learning (TDRL) Theory of Emotion, arguing that emotions are manifestations of the brain's reward processing system, specifically its assessment of temporal difference errors. I propose that emotions, ranging from basic joy and distress to more complex feelings like regret and hope, all stem from this fundamental process of evaluating changes in well-being.

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