Excellent article!

As complexity wonks, most of us understand that static models are woefully
incomplete, and that dynamical systems modeling is one of the precursors to
understanding complexity.  This implies the study of systems at some
distance from equilibrium. 

Hopefully, we can encourage people to join us in the 21st century and adopt
these methodologies.

Just got a FRIAM post: "This economy does not compute."  Perhaps a move from
the deterministic to the stochastic is in order.  Our economy computes, but
in non-analytical ways.  It's complex ... Doh!

Ken

> -----Original Message-----
> From: [EMAIL PROTECTED] 
> [mailto:[EMAIL PROTECTED] On Behalf Of Matthew Francisco
> Sent: Wednesday, October 01, 2008 9:43 AM
> To: The Friday Morning Applied Complexity Coffee Group
> Subject: Re: [FRIAM] This Economy Does Not Compute
> 
> from Rob Axtell:
> http://krasnow.blogspot.com/2008/09/goldilocks-on-wall-street.
> html#links
> 
> On Wed, Oct 1, 2008 at 8:29 AM, glen e. p. ropella 
> <[EMAIL PROTECTED]> wrote:
> >
> > 
> http://www.nytimes.com/2008/10/01/opinion/01buchanan.html?_r=3&ref=opi
> > nion&oref=slogin&oref=slogin&oref=slogin
> >
> > --
> > glen e. p. ropella, 971-219-3846, http://tempusdictum.com
> >
> >
> > ============================================================
> > FRIAM Applied Complexity Group listserv Meets Fridays 
> 9a-11:30 at cafe 
> > at St. John's College lectures, archives, unsubscribe, maps at 
> > http://www.friam.org
> >
> 
> ============================================================
> FRIAM Applied Complexity Group listserv
> Meets Fridays 9a-11:30 at cafe at St. John's College 
> lectures, archives, unsubscribe, maps at http://www.friam.org


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