The representation of intelligence is achieved by patterns of connections among neurons in brains and machines.Brains grow continuously, such that their patterns of connections develop through activity-dependent specification, with the continuing ontogenesis Hemp Socks of individual experience.The theory of active inference proposes that the developmental organization of sentient systems reflects general processes of informatic self-evidencing, through the minimization of free energy.
We interpret this theory to imply that the mind may be described in information terms that are not dependent on a Side Rail specific physical substrate.At a certain level of complexity, self-evidencing of living (self-organizing) information systems becomes hierarchical and reentrant, such that effective consciousness emerges as the consequence of a good regulator.We propose that these principles imply that an adequate reconstruction of the computational dynamics of an individual human brain/mind is possible with sufficient neuromorphic computational emulation.