Free Energy를 최소화하는 방향으로 파라미터를 조정하여 모델을 학습
Free energy principle
The free energy principle is a theoretical framework suggesting that the brain reduces surprise or uncertainty by making predictions based on internal models and updating them using sensory input. It highlights the brain's objective of aligning its internal model and the external world to enhance prediction accuracy. This principle integrates Bayesian inference with active inference, where actions are guided by predictions and sensory feedback refines them. It has wide-ranging implications for comprehending brain function, perception, and action.[1]
https://en.wikipedia.org/wiki/Free_energy_principle

Seonglae Cho