posted on May, 7 2017 @ 09:41 AM
originally posted by: HeathenJessie
Everything it does is pre-conceived and coded by someone or something.
A system with just a simple set of rules, when left on its own, can create complexity and complex behaviour. In fact, that's how nature works. It was
actually Turin himself who discovered that simple mathematical rules underline all the complexity and unpredictable behaviour seen in nature.
Please watch this documentary - The Secret Life of Chaos - www.dailymotion.com...
From 50:55 time mark, they show a computer program that learned to keep human-like constructs on their feet when they are dropped from a height or try
to walk. Eventually, those "stick figures" learned to react to being pushed in a very human-like way.
In fact, computer programs learning on their own has been about for quite a while. It goes as far back as
Conway's Game of Life
which creates evolving behaviour based on some simple rules.
Have a play: bitstorm.org...
For example, writing my name "MAX" in the field resulted in some very interesting animated shapes, and eventually resulted in a bunch of stable (or
oscillating) shapes, and a "glider" that raced off into the top left corner and disappeared off the grid.
What I've just realised is that a "glider" travelling away from its spawn point could collide with other stable shapes elsewhere on the grid,
triggering change and potentially more "gliders". Likewise, an evolving AI, when connected to other computers, can affect them or be affected by them,
in some unpredictable ways.
edit on 7-5-2017 by wildespace because: (no reason given)