Ryan Smith ~ Active Inference Insights 013 ~ Wellbeing, Modelling, Precision
Active Inference Insights
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Analyzing Active Inference Models Against Human Behavior
Exploring the challenges of testing and validating active inference models in computational psychiatry, emphasizing the importance of fitting models to behavioral data from clinical populations to assess predictive accuracy and differentiate from other existing models like reinforcement learning.
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