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Exploring Preferences and Interceptive Inference in Active Inference Models
The chapter delves into the concepts of preferences and interceptive inference in active inference models. It discusses how agents aim to minimize divergence from a target distribution, the complexities of encoding preferences, and the interplay between likelihood, priors, and posterior distributions.