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Nicholas Thompson wrote:
> Colleagues at my former institutution have asked me to provide a
> reading or other ...... representation .... that can be consumed in
> less than an hour that would give a sense of what it is "we" do in
> Friam, in Santa Fe, etc.  Hopefully not words ABOUT it but an example
> OF it, if you see what I mean, but we might have to settle for words.
> If you had ONE SHOT at turning a colleague into a complexitist, what
> would you do with him/her.

I would probably sit down with them and play a couple tiling games, one
periodic and one aperiodic.  Or if that were infeasible, I'd probably
set up some game-theoretic human-in-the-loop games.

Anything involving collaborative (stigmergic) construction would be
good, especially if it usually produces counter-intuitive results.

> A related question in my mind:  if agent-based-models come closest to
> capturing the essense of complexity thinking,  WHY?

_If_ they do (and I'm not convinced they do with all the pitfalls of
modeling and simulation in the way), it is exactly because of the
potential for collaborative construction in ABSs.  It's collaborative
construction that provides the umbrella for things like stigmergy,
scaffolding, co-evolution, implicit selection functions, dynamic
landscapes, and relatively easy demonstrations of interesting
generator-phenomena mappings.

Of course, this focus on synthesis misses the other half of "complexity"
to some extent, patterns and analysis.  Finding an inverse map from
phenomena to generator and the techniques involved is at least half of
the domain.  And in this, the construction (especially modeling and
simulation) is just a cognitive aid.  For the analysis half, ABM is NOT
the best way to capture complexity.  For that, I'd say studying fractals
is the best way to get the point across.  Cellular automata might be a
close second.

- --
glen e. p. ropella, 971-219-3846, http://tempusdictum.com
Liberty is the only thing you can't have unless you give it to others.
- -- William Allen White

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