[FRIAM] Oblivion resistant swarm

[Frank Wimberly]

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 <jofr at cas-group.net> 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 <marcus at snoutfarm.com>
> Date: 6/6/20 21:56 (GMT+01:00)
> To: The Friday Morning Applied Complexity Coffee Group <Friam at redfish.com>
>
> 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 <friam-bounces at redfish.com> on behalf of Jochen Fromm <
> jofr at cas-group.net>
> *Reply-To: *The Friday Morning Applied Complexity Coffee Group <
> Friam at redfish.com>
> *Date: *Saturday, June 6, 2020 at 12:27 PM
> *To: *The Friday Morning Applied Complexity Coffee Group <
> Friam at redfish.com>
> *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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