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#320 — Constructing Self and World

Making Sense with Sam Harris

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Minimizing Prediction Error and Informational Distance in Simulation

A simulation should focus on minimizing prediction error with sensory data while also reducing the informational distance between the output of the generative model, simulation, and priors. By achieving this, the simulation closely resembles the expected outcome before observing sensory data. This concept of minimizing prediction error and informational distance forms the basis of free energy. Free energy involves two components: prediction error and informational distance to the prior expectations. By performing approximate Bayesian inference and creating a simulation that minimizes prediction error with sensory data and deviation from prior probabilities, one can effectively implement the concept of free energy.

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