representational-decoupling

This paper investigates the concept of 'ontological inversion' under the free energy principle, using a convolutional variational autoencoder to explore whether a synthetic environment can permanently replace a system's default generative model. The study finds a decoupling between representational accuracy and default behavior, introducing the phenomenon of 'cognitive relapse' where the system partially reverts to its original model.