> Symbolic systems are well-known to have capabilities missing from neural networks, particularly reasoning and knowledge representation. If I were to posit an

> Symbolic systems are well-known to have capabilities missing from neural networks, particularly reasoning and knowledge representation. If I were to posit an initial draft operational definition for “artificial glial network”, then I would use exactly what you describe as a “symbolic system”: Artificial Glial Networks (AGN) have capabilities missing from Artificial Neural Networks (ANN), particularly reasoning and knowledge representation. I would also go on about: In addition, AGN have the capability to define the structure of any associated ANN (“ANN Modification”), create new associated ANN (“ANN Generation”), and modify associations between any ANN (“ANN-ANN Associations”) in the AGN’s aggregate of associated ANN’s (“AGN-ANN Associations”). Furthermore, AGN explicitly are constrained such that no AGN can create, modify, or associate with any other AGN (“AGN Isolation”). That’s just some thoughts off the top of my head though. Eventually I’ll get around to sifting through some research and elaborating, refining, etc.