[FRIAM] Oblivion resistant swarm

[Barry MacKichan]

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 <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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