“Overview of Methods for Building a Simulation: Neural Networks,” by Dan, A Computer Model of National Behavior, December 2004, ppg 29-30
Your assassins have hit their targets. Your rabble rousers have told stories — true and false — of the nightmarish jails of the government. Your agitators have made the population mad against their rulers.
Is your movement now strong enough to move to the next stage — controlling the countryside at night? Or setting up your own social services programs? Or planned ambushes of governmental troops?
These are the questions that every Fourth Generation Commander faces when his movement is successful in the 1st Stage of 4th Generation War (4GWS1) and ponders whether to advance to the 2nd Stage (4GWS2).
It is merely a question of continuing what you are doing or moving to the next step. At one level, a diagram of this would be:
Input-Decision-Output. Nothing could be simpler.
A neuron is a type of input-decision-output machine. It works by collecting energy input from cells called “dendrites.” If the energy is above a “threshhold,” it is sent out through cells called “axons.”
To steal a graphic from my thesis
or perhaps more clearly, in the context of 4th Generation Struggle
The 4G Movement begins Stage 1 activities, such as assassinations/node-takedowns, reporting horror stories, and agitating for change among the people. The 4G networks is a thinking machine, and when the Stage 1 energy grows great enough the neural nucleus’ threshhold is reached and Stage 2 begins.
A neural approach is very appropriate to 4th Generation Struggle. To quote from my work,
Neural networks have been shown to explain the behavior of insects, animals, and in some areas humans, so perhaps they might explain the behavior of national populations of humans. Because there are many neurons involved, the calculations will be necessarily parallel, opening the door to optimizations. Additionally, the proven ability for biological neural networks to learn concepts and plot strategies have obvious benefits for nations.
Not just for nations. 4G Networks also learn concepts and plot strategies.
A single-neuron view of a 4G net would be too simplistic, but a neural-net model may not be.
Just another way to think about the power of 4GNets.