Introduction to the Special Issue on G-Networks and the Random Neural Network

This special issue includes seven papers on G-networks and the Random Neural Network (RNN), approximately twenty years after these models were first introduced. We summarise the differences between the research trends related to these two branches of the same initial model, and point to applications that are less known to the Performance community and suggest significant questions related to G-networks and the RNN that are fruitful research directions.