I found this in a book by Michio Kaku called ‘The Future of the Mind’. Fun read. Lots of cool facts. But he goes a little overboard with his predictions on the future of AI, etc.
Anyway, the following is from page 220.
‘Where did we go wrong? For the past fifty years, scientists working in AI have tried to model the brain by following the analogy with digital computers. But perhaps this was too simplistic. As Joseph Campbell once said, “Computers are like Old Testament gods; lots of rules and no mercy.” If you remove a single transistor form a Pentium chip, the computer will crash immediately. But the human brain can perform quite well even if half of it is missing.
This is because the brain is not a digital computer at all, but a highly sophisticated neural network of some sort. Unlike a digital computer, which has a fixed architecture (input, output, and processor), neural networks are collections of neurons that constantly rewire and reinforce themselves after learning a new task. The brain has no programming, no operating system, no Windows, no central processor. Instead, its neural networks are massively parallel, with one hundred billion neurons firing at the same time in order to accomplish a single goal: to learn.’
Now read it again and replace ‘neurons’ with ‘individuals.’ Replace ‘network’ and ‘brain’ with ‘society’ and you’ve got yourself a pretty solid argument for removing governments (or as Michio words it, ‘central processor’) and letting individuals find their own ‘neural paths’ through trial and error.
Perhaps the most important word in the above is the term ‘parallel’. The goal he notes (to learn) could be replaced with 'achieve', though both are virtuous enough.
If this system of networking is good enough for the human brain, the most intelligent entity on the face of the earth to date, then why not try to emulate it?