Practical network issues often dominate discussions of network philosophy.

Preliminary research of next generation network philosophy, beyond legacy issues, has led to the emergence of some novel concepts.

A preview of the main features of the new vision include the permutation of emerging artificial intelligence, for enhanced awareness, in the context of distributed learning, facilitated by Bayesian networks, partially conditioned by novel monitor stack models.

Self supervision is implied in meta perspective, an abstraction of network awareness, along with the inferred comparative overview of future views of potential importance to the supervision function.

One might envision a large feedback loop, of special neural components, that replaces the classical external supervision state engine, with the addition of network effectors for awareness adaptation, and proactive initiatives.