
Ryan Smith ~ Active Inference Insights 013 ~ Wellbeing, Modelling, Precision
Active Inference Insights
Exploring Emotional Granularity and Policy Selection
The chapter delves into emotional granularity within active inference, emphasizing the need for complexity in emotional states without overfitting. It discusses inferring emotional states for informed policy selections and the intricacies of structure learning versus parameter learning. The conversation highlights the importance of fine-grained state spaces in decision-making processes.
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