John, On Thu, Jul 12, 2012 at 4:07 AM, John G. Rose <[email protected]>wrote:
> I thought that self-organizing systems are routinely created and hosted > within software environments. An example would be a multi-agent host where > the agents congregate and spontaneously emerge a relatively coordinated > behavior that solves some individually unrelated goal. > The problem with present learning and self-organizing systems is that they are SO slooooow. My own theory is that this comes from discarding temporal clues, which is a normal part of chopping time into slices. Some good mathematicians have worked on what is left after the chop-job, and it just doesn't seem to be enough to self-organize and learn at a useful rate. > **** > > ** ** > > A problem is taming the self-organization across complexity barriers in > such a way as to reach higher thresholds of sophistication, perhaps going > through multiple stages of self-organization to optimize problem solving > abilities using computational expense minimizations awarded though the > coordinating of the self-organization superstructure. > I suspect that this path will become clearer, once we figure out how to do one stage of self-organization. That superstructure being a systems automata which imposes feedback through > itself, across internal complexity regions, while learning symbiotically > with its informational environment. > I suspect that chopping things into regions will have problems, because we don't know where to chop, and there is probably a vast hierarchy of sub-regions, each of which needs its own separate direction to quickly converge. > **** > > ** ** > > In this particular construct I described maybe the overall superstructure > behavior and coordination is analogish, versus the individual > self-organizing being more constructed digitally. Analog control itself > being a self-organized resultant, a fine tuner. > At the very bottom, a design decision will have to be made where "analog" is handled by some continuous quantity like voltage, current, or charge; or whether everything will be digital. Both approaches have their considerable problems. > **** > > ** ** > > Just some thoughts… > ... to which I have added my own. BTW, I can't tell whether the others here really grok the distinction between the unidirectionality of Von Neumann computers, and the bi-directionality of typical analog computing, and how it relates to formulas vs. equations. I thought that you might take a shot at this, as you obviously have the background to do so, and you seem to better "speak the lingo" here than I do. I liken this to comparing arithmetic to calculus. Perhaps you have better words? Thanks John. Steve ------------------------------------------- AGI Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/21088071-c97d2393 Modify Your Subscription: https://www.listbox.com/member/?member_id=21088071&id_secret=21088071-2484a968 Powered by Listbox: http://www.listbox.com
