<div dir="auto">Well, I had taught those optimization techniques at the master's level and would have realized it if they were straightforwardly applicable to the problem. Regardless, the extensions I mentioned were very easy to implement given the existence of the basic ABM.<div dir="auto"><br></div><div dir="auto">It was amazing to me that certain managers jealously guarded access to their datasets and would not give them to us without a difficult negotiation even though we were helping them in ways that their executives had asked us to do.</div><div dir="auto"><br></div><div dir="auto">Stephen, were you involved in any of this?</div><div dir="auto"><br></div><div dir="auto">Frank<br><div dir="auto"><br><div data-smartmail="gmail_signature" dir="auto">---<br>Frank C. Wimberly<br>140 Calle Ojo Feliz, <br>Santa Fe, NM 87505<br><br>505 670-9918<br>Santa Fe, NM</div></div></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Sat, Jun 6, 2020, 2:39 PM Marcus Daniels <<a href="mailto:marcus@snoutfarm.com">marcus@snoutfarm.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal">I would not go so far as saying <b>analytically</b>, but certainly if the simulation is computationally shallow – doesn’t evolve opportunity costs that need to unfold in time and space -- I would think mixed integer linear programming or
constraint/logic optimization would give a more comprehensive result. <u></u><u></u></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;color:black">From: </span></b><span style="font-size:12.0pt;color:black">Friam <<a href="mailto:friam-bounces@redfish.com" target="_blank" rel="noreferrer">friam-bounces@redfish.com</a>> on behalf of Frank Wimberly <<a href="mailto:wimberly3@gmail.com" target="_blank" rel="noreferrer">wimberly3@gmail.com</a>><br>
<b>Reply-To: </b>The Friday Morning Applied Complexity Coffee Group <<a href="mailto:friam@redfish.com" target="_blank" rel="noreferrer">friam@redfish.com</a>><br>
<b>Date: </b>Saturday, June 6, 2020 at 1:17 PM<br>
<b>To: </b>The Friday Morning Applied Complexity Coffee Group <<a href="mailto:friam@redfish.com" target="_blank" rel="noreferrer">friam@redfish.com</a>><br>
<b>Subject: </b>Re: [FRIAM] Oblivion resistant swarm<u></u><u></u></span></p>
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<p class="MsoNormal">I thought it worked well. I don't know what Ford did with it if anythinng. There was at least one person that claimed he could reach the same conclusions analytically. But he wouldn't have been able to model the social interaction of
customers, the effects of advertising, and the effects of social media for instance. I'll bet there are Ford Ranger Facebook groups. Ford wanted the results in order to determine which option sets to manufacture. <u></u><u></u></p>
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<p class="MsoNormal">Frank<u></u><u></u></p>
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<p class="MsoNormal">On Sat, Jun 6, 2020 at 2:12 PM Barry MacKichan <<a href="mailto:barry.mackichan@mackichan.com" target="_blank" rel="noreferrer">barry.mackichan@mackichan.com</a>> wrote:<u></u><u></u></p>
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<p><span style="font-family:"Arial",sans-serif">How did it work out? Did anyone at Ford run with it?<u></u><u></u></span></p>
<p><span style="font-family:"Arial",sans-serif">On 6 Jun 2020, at 16:08, Frank Wimberly wrote:<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">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.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">Frank<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">On Sat, Jun 6, 2020 at 2:03 PM Jochen Fromm <<a href="mailto:jofr@cas-group.net" target="_blank" rel="noreferrer">jofr@cas-group.net</a>> wrote:<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">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. <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">-J.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">-------- Original message --------<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">From: Marcus Daniels <<a href="mailto:marcus@snoutfarm.com" target="_blank" rel="noreferrer">marcus@snoutfarm.com</a>>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">Date: 6/6/20 21:56 (GMT+01:00)
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">To: The Friday Morning Applied Complexity Coffee Group <<a href="mailto:Friam@redfish.com" target="_blank" rel="noreferrer">Friam@redfish.com</a>>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">Subject: Re: [FRIAM] Oblivion resistant swarm
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:black">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).<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777"><a href="https://science.sciencemag.org/content/361/6398/162" target="_blank" rel="noreferrer">https://science.sciencemag.org/content/361/6398/162</a><u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777"> <u></u><u></u></span></p>
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<p class="MsoNormal"><b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">From:
</span></b><span style="font-size:12.0pt;font-family:"Arial",sans-serif;color:black">Friam <<a href="mailto:friam-bounces@redfish.com" target="_blank" rel="noreferrer">friam-bounces@redfish.com</a>> on behalf of Jochen Fromm <<a href="mailto:jofr@cas-group.net" target="_blank" rel="noreferrer">jofr@cas-group.net</a>><br>
<b>Reply-To: </b>The Friday Morning Applied Complexity Coffee Group <<a href="mailto:Friam@redfish.com" target="_blank" rel="noreferrer">Friam@redfish.com</a>><br>
<b>Date: </b>Saturday, June 6, 2020 at 12:27 PM<br>
<b>To: </b>The Friday Morning Applied Complexity Coffee Group <<a href="mailto:Friam@redfish.com" target="_blank" rel="noreferrer">Friam@redfish.com</a>><br>
<b>Subject: </b>[FRIAM] Oblivion resistant swarm</span><span style="font-family:"Arial",sans-serif;color:#777777"><u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">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). <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">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) :-)<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">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:<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777"> <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">1. Is two weeks a reasonable timespan for the time we need to learn new rules in general? <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">2. Do you know any existing ABMs which are similar? <u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">-J.<u></u><u></u></span></p>
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">--
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<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#777777">Frank Wimberly<br>
140 Calle Ojo Feliz<br>
Santa Fe, NM 87505<br>
505 670-9918<u></u><u></u></span></p>
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<p class="MsoNormal">-- <u></u><u></u></p>
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<p class="MsoNormal">Frank Wimberly<br>
140 Calle Ojo Feliz<br>
Santa Fe, NM 87505<br>
505 670-9918<u></u><u></u></p>
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