This view is quite common in computational neuroscience. Rather than calling it Real World emulators, they call it predictive coding[1][2]. Models that are able

This view is quite common in computational neuroscience. Rather than calling it Real World emulators, they call it predictive coding[1][2]. Models that are able to predict statistical properties of "percepts", are able to store these percepts in a much smaller coding scheme (information-wise). These models generate predictions continuously (or emulate the Real World), and only update themselves if supplied with sufficiently contrasting information. 1. http://www.ncbi.nlm.nih.gov/pubmed/10195184 http://www.ncbi.nlm.nih.gov/pubmed/10195184 2. https://en.wikipedia.org/wiki/Bayesian_approaches_to_brain_function https://en.wikipedia.org/wiki/Bayesian_approaches_to_brain_f...