Posted by
Phil Henshaw-2 on
Apr 06, 2007; 12:57am
URL: http://friam.383.s1.nabble.com/One-of-my-projects-tp523626p523655.html
I mainly just learn to identify islanded causal chains, and by long
experience find that when they result in things I can then replace in my
mind with rules, I'm forced to say that the local system made them up.
Phil Henshaw ????.?? ? `?.????
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> -----Original Message-----
> From: friam-bounces at redfish.com
> [mailto:friam-bounces at redfish.com] On Behalf Of Marcus G. Daniels
> Sent: Wednesday, April 04, 2007 11:38 PM
> To: The Friday Morning Applied Complexity Coffee Group
> Subject: Re: [FRIAM] One of my projects
>
>
> Phil Henshaw wrote:
> > how do you represent the systems of nature that are out of
> control and
> > making up altogether new rules???
> At some point that kind effort is less of an empirical
> science and more
> of a mathematical investigation into worlds as they could be. That's
> not to say it is bad, it's just a different goal.
>
> One way to proceed with that kind of investigation is with genetic
> programming. Create an imaginary world that has certain
> forces acting
> on the things in it, and then evolve computer programs that
> can survive
> in that imaginary world. After the agents survive very well, take
> apart those computer programs to try figure out how they
> work, or study
> how different computer programs interact in that world and
> possibly even
> change it. Classic example:
>
http://www.archive.org/details/sims_evolved_virtual_creatures_1994With an avatar/gaming world, it's not hard to imagine automated agents
learning how to fight or cooperate with human players. Then one could
probe those agents to watch how they make decisions. To be more
systematic and learn about learning one could have timestamps on each
node/branch to compare the recent innovations from enduring logic.
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