[FRIAM] FRIAM and causality
Phil Henshaw
sy at synapse9.com
Sat Dec 8 21:45:35 EST 2007
Well, I'd hope it was only because I don't understand the physical
system or the model invloved, but it seems from what you're saying that
the diagram was actually just a model of an argument about a model and a
system. That makes it much harder for it to display an *interesting*
way in which a real model fails to fit a real system. Is that right?
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: Saturday, December 08, 2007 12:24 PM
> To: The Friday Morning Applied Complexity Coffee Group
> Subject: Re: [FRIAM] FRIAM and causality
>
>
> Glen wrote:
> > No. Adjusting a rule is entirely different from adjusting
> a number.
> > The adjustment of a number merely explores a space. A
> number spectrum
> > does specify/describe a metric. So, for example, adjusting
> an integer
> > with particular boundaries for the model, say [-10, 100] provides a
> > well-defined space.
> For a fixed instruction set there's a fixed set of programs
> that can be
> encoded in a fixed sized vector. The behaviors that such a
> program can
> exhibit are also entirely fixed given precise initial state. General
> and effective methods for global search can in fact be
> exactly the same
> for numbers and rules: 0) create a set of starting candidates 1)
> evaluate them, 2) tweak the good 3) destroy the bad, 4) go to 1.
>
> To have good optimizations for searching number spaces (more
> efficient
> than exhaustive grid search), then additional assumptions need to be
> made, such as that the numbers come from a differentiable function or
> have systematic gradients. For that matter [-10, 100] is not a well
> defined space for a model because there are no units, and no given
> meaning to how that range ought to relate to sensitivities in
> other agents.
>
> An agent model is an assembly. If a component of the assembly is
> tweaked a bit, that doesn't justify calling it a whole new model any
> more than if a few parameters in the model changed a bit. It is a
> versioning issue.
>
> Marcus
>
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