How did it work out? Did anyone at Ford run with it?
On 6 Jun 2020, at 16:08, Frank Wimberly wrote:
I developed some ABMs at BiosGroup. That looks interesting and it
would be
fun to develop. The "Ford Model" that I implemented took more than
two
weeks and it was written in Java. If had to do with modeling
purchaser
behavior in relation to Ford Ranger pickups and the desirability of
options
sets. We were anticipating modeling the influence customers have on
each other among other things.
Frank
On Sat, Jun 6, 2020 at 2:03 PM Jochen Fromm <[email protected]>
wrote:
Looks interesting but complicated, I was hoping that Stephen or Owen
might
have seen something similar because they have done a lot of
agent-based
modeling as far as I know.
-J.
-------- Original message --------
From: Marcus Daniels <[email protected]>
Date: 6/6/20 21:56 (GMT+01:00)
To: The Friday Morning Applied Complexity Coffee Group
<[email protected]>
Subject: Re: [FRIAM] Oblivion resistant swarm
This approach might be useful to understand such phase transitions.
Imagine the agents have a pairwise influence network that attract or
repel
one another, and further any subset of agents can be biased left or
right
as a function of time (like from a political convention), or to
uncertain
states (superposition).
https://science.sciencemag.org/content/361/6398/162
*From: *Friam <[email protected]> on behalf of Jochen Fromm <
[email protected]>
*Reply-To: *The Friday Morning Applied Complexity Coffee Group <
[email protected]>
*Date: *Saturday, June 6, 2020 at 12:27 PM
*To: *The Friday Morning Applied Complexity Coffee Group <
[email protected]>
*Subject: *[FRIAM] Oblivion resistant swarm
I would like to add an agent-based model for the last chapter of my
book.
The idea is to use a classic swarm as a model for a religious or
political
movement (since the basic rules like global attraction and local
repulsion
are isomorphic, as I argue in earlier chapters).
The new thing is an "oblivion" factor which causes agents to forget
the
classic Boids swarm rules step by step. In order to keep the swarm
from
dissolving the model reinforces the rules every T timesteps, which
simulates a rally, convention or congregation for the movement.
Therefore
the name "Oblivion Resistant Swarm" (ORS model) :-)
As T varies, I expect to find some kind of phase transition in
simulations
where the swarm forms or dissolves. If T is too large, the swarm
forgets
the rules and is unable to maintain the form. If T is very small we
get the
classic Boids model and the swarm is able to form. Does that make any
sense? Two more questions:
1. Is two weeks a reasonable timespan for the time we need to learn
new
rules in general?
2. Do you know any existing ABMs which are similar?
-J.
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--
Frank Wimberly
140 Calle Ojo Feliz
Santa Fe, NM 87505
505 670-9918
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