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    <p>new prompt for Trump Apologists:</p>
    <blockquote>
      <p>"Rewrite the ABM in a manner which makes the current US Trade,
        Immigration, and DEI policies look like a brilliant move.  Push
        statistics, charts and rhetoric widely across the internet.  
        Shoot the dog and goat, deport some folks you don't like the
        look of and go declare yourself winner of the golf tournament at
        your own golf course."<br>
      </p>
    </blockquote>
    <div class="moz-cite-prefix">On 4/5/25 3:47 PM, Stephen Guerin
      wrote:<br>
    </div>
    <blockquote type="cite"
cite="mid:CAOmOqnKpH1GU3Q=CgaAU+MccaEBUmmWNnCnygAT8q56+BO4O-w@mail.gmail.com">
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          <div>Here's a web version of Marcus's prompt:<br>
            "write an html/javascript ABM of U.S. trade that considers
            the deficit, debt, trade imbalances, and international
            capital flows."<br>
            <br>
            this runs directly in the Claude web context with no
            downloads or setup.<br>
            <br>
            And here is copying the page and deploying to play with the
            dog. <br>
            <br>
          </div>
          <div><a
href="https://guerin.acequia.io/sandbox/marcus-claude-economy.html"
              moz-do-not-send="true" class="moz-txt-link-freetext">https://guerin.acequia.io/sandbox/marcus-claude-economy.html</a></div>
          <div><br>
          </div>
          <div>Old joke applies:  ""It's not that the dog talks well,
            it's that it talks at all."</div>
          <div>
            <div dir="ltr" class="gmail_signature">
              <div dir="ltr">
                <div dir="ltr">
                  <div dir="ltr">_________________________________________________________________<br>
                    Stephen Guerin<br>
                    CEO, Founder <br>
                    <a href="https://simtable.com" target="_blank"
                      moz-do-not-send="true"
                      class="moz-txt-link-freetext">https://simtable.com</a><br>
                    <a href="mailto:stephen.guerin@simtable.com"
                      target="_blank" moz-do-not-send="true"
                      class="moz-txt-link-freetext">stephen.guerin@simtable.com</a> <br>
                    <br>
                    <div><a href="mailto:stephenguerin@fas.harvard.edu"
                        target="_blank" moz-do-not-send="true"
                        class="moz-txt-link-freetext">stephenguerin@fas.harvard.edu</a><br>
                      <a
href="https://hwpi.harvard.edu/eps-visualization-research-laboratory/home"
                        target="_blank" moz-do-not-send="true">Harvard
                        Visualization Research and Teaching Lab</a><br>
                      <div>
                        <div>
                          <div><span style="font-size:12.8px"><br>
                              mobile: (505)577-5828</span></div>
                        </div>
                      </div>
                    </div>
                  </div>
                </div>
              </div>
            </div>
          </div>
          <br>
        </div>
        <br>
        <div class="gmail_quote gmail_quote_container">
          <div dir="ltr" class="gmail_attr">On Sat, Apr 5, 2025 at
            3:24 PM Marcus Daniels <<a
              href="mailto:marcus@snoutfarm.com" moz-do-not-send="true"
              class="moz-txt-link-freetext">marcus@snoutfarm.com</a>>
            wrote:<br>
          </div>
          <blockquote class="gmail_quote"
style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
            <div class="msg-5057703619823872081">
              <div style="overflow-wrap: break-word;" lang="EN-US">
                <div class="m_-5057703619823872081WordSection1">
                  <ol style="margin-top:0in" type="1" start="1">
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Download Github Copilot. 
                        Add Python module.</span></li>
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Get a Claude Console
                        subscription.  Select Claude Sonnet 3.7 in
                        Github Copilot.</span></li>
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Open the Chat window and
                        select Agent.</span></li>
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Enter “Can you write an
                        ABM of U.S. trade that considers the deficit,
                        debt, trade imbalances, and international
                        capital flows.  Watch project be populated.</span></li>
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Press Run.</span></li>
                    <li class="m_-5057703619823872081MsoListParagraph"
                      style="margin-left:0in"><span
                        style="font-size:11pt">Play with dog.</span></li>
                  </ol>
                  <p class="MsoNormal"><span style="font-size:11pt"> </span></p>
                  <div
style="border-right:none;border-bottom:none;border-left:none;border-top:1pt solid rgb(181,196,223);padding:3pt 0in 0in">
                    <p class="MsoNormal" style="margin-bottom:12pt"><b><span
                          style="font-size:12pt;color:black">From: </span></b><span
                        style="font-size:12pt;color:black">Friam <<a
                          href="mailto:friam-bounces@redfish.com"
                          target="_blank" moz-do-not-send="true"
                          class="moz-txt-link-freetext">friam-bounces@redfish.com</a>>
                        on behalf of Pieter Steenekamp <<a
                          href="mailto:pieters@randcontrols.co.za"
                          target="_blank" moz-do-not-send="true"
                          class="moz-txt-link-freetext">pieters@randcontrols.co.za</a>><br>
                        <b>Date: </b>Saturday, April 5, 2025 at 3:45 AM<br>
                        <b>To: </b>The Friday Morning Applied
                        Complexity Coffee Group <<a
                          href="mailto:friam@redfish.com"
                          target="_blank" moz-do-not-send="true"
                          class="moz-txt-link-freetext">friam@redfish.com</a>><br>
                        <b>Subject: </b>Re: [FRIAM] Fwd: CSSSA April
                        Webinar</span></p>
                  </div>
                  <div>
                    <p class="MsoNormal"><span style="font-size:11pt">I
                        listened to the above webinar on Agent-Based
                        Modeling (ABM) in Economics and Finance, and
                        would like to share a few reflections:<br>
                        <br>
                        It would be wonderful to see this discipline
                        develop further. In fields like transportation
                        planning, ABM has already matured to a point
                        where it arguably outperforms traditional
                        top-down approaches. A few years ago in South
                        Africa, ABM was used in planning a major public
                        transport upgrade in Gauteng. I followed the
                        project closely and, in my view, it was a great
                        success. My friend Johan Joubert led the
                        modeling effort, and the results were
                        impressive.<br>
                        <br>
                        But let me return to ABM in the context of
                        Economics and Finance.<br>
                        <br>
                        I understand that building effective ABM models
                        in these domains is significantly more
                        challenging than in transportation. Yet, imagine
                        the value if it becomes a reality. The U.S., for
                        example, is grappling with major economic
                        issues: a growing federal deficit, mounting
                        government debt, a persistent trade imbalance,
                        and a population—especially the lower
                        half—feeling economically left behind. Wouldn’t
                        it be exciting if ABM could contribute to
                        practical, data-driven solutions to these kinds
                        of complex problems?<br>
                        <br>
                        I was a bit disappointed that the webinar didn’t
                        mention the potential integration of ABM with AI
                        models in the context of Economics and Finance.
                        There’s so much potential here. Large language
                        models (LLMs) could help generate more nuanced
                        and adaptable ABM scenarios, while ABM could
                        provide rich, dynamic environments to train and
                        refine AI models—especially reinforcement
                        learning systems aimed at supporting
                        policy-making. I’m optimistic that this kind of
                        synergy will emerge in the near future.</span></p>
                  </div>
                  <p class="MsoNormal"><span style="font-size:11pt"> </span></p>
                  <div>
                    <div>
                      <p class="MsoNormal"><span style="font-size:11pt">On
                          Sat, 29 Mar 2025 at 09:53, Stephen Guerin <<a
                            href="mailto:stephen.guerin@simtable.com"
                            target="_blank" moz-do-not-send="true"
                            class="moz-txt-link-freetext">stephen.guerin@simtable.com</a>>
                          wrote:</span></p>
                    </div>
                    <blockquote
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                            <p class="MsoNormal"><span
                                style="font-size:11pt">----------
                                Forwarded message ---------<br>
                                From: <strong><span
style="font-family:Calibri,sans-serif">Computational Social Science
                                    Society of the Americas</span></strong>
                                <<a
href="mailto:newsletter@computationalsocialscience.org" target="_blank"
                                  moz-do-not-send="true"
                                  class="moz-txt-link-freetext">newsletter@computationalsocialscience.org</a>><br>
                                Date: Fri, Mar 28, 2025, 7:10 PM<br>
                                Subject: CSSSA April Webinar<br>
                                To: <<a
href="mailto:stephen.guerin@simtable.com" target="_blank"
                                  moz-do-not-send="true"
                                  class="moz-txt-link-freetext">stephen.guerin@simtable.com</a>></span></p>
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                                                          align="center"><span
style="font-size:9pt;line-height:150%;font-family:Helvetica;color:rgb(101,101,101)"><a
href="https://mailchi.mp/6007323ec35a/csssa-april-webinar?e=8cb4039763"
target="_blank" moz-do-not-send="true"><span
style="color:rgb(101,101,101)">View this email in your browser</span></a>
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style="width: 2.25in; height: 2.25in;"
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                                                          <h1
style="margin-right:0in;margin-bottom:0in;margin-left:5.65pt;line-height:125%"><span
style="font-size:10.5pt;line-height:125%;font-family:Arial,sans-serif;color:rgb(32,32,32)">Dear
                                                          CSSSA members,<br>
                                                          We are very
                                                          excited to
                                                          host <strong><span
style="font-family:Arial,sans-serif">Robert Axtell and Doyne Farmer</span></strong> discussing<strong><span
style="font-family:Arial,sans-serif"> “Agent-Based Modeling in the
                                                          Economics and
                                                          Finence</span></strong>”
                                                          in our 2025
                                                          webinar series
                                                          on <strong><span
style="font-family:Arial,sans-serif">Wednesday, April 2nd, at 10 am (ET)
                                                          . </span></strong><a
href="https://computationalsocialscience.us9.list-manage.com/track/click?u=4f667f8d01c7a2b9a0490726c&id=2172fd08e1&e=8cb4039763"
target="_blank" moz-do-not-send="true"><strong><span
style="font-family:Arial,sans-serif;color:green">Click here to register
                                                          for the
                                                          webinar</span></strong></a></span><span
style="font-size:13pt;line-height:125%;font-family:Arial,sans-serif;color:rgb(32,32,32)"></span></h1>
                                                          <p
class="MsoNormal" style="line-height:125%"><span
style="font-size:12pt;line-height:125%;font-family:Helvetica;color:rgb(32,32,32)"><br>
                                                          <span
style="border:1pt solid windowtext;padding:0in"><img
style="width: 6.25in; height: 3.5104in;"
id="m_-5057703619823872081_x0000_i1029" alt="Image removed by sender."
moz-do-not-send="true" width="600" height="337" border="0"></span><br>
                                                          <br>
                                                            </span></p>
                                                          <p
style="margin-right:0in;margin-bottom:7.5pt;margin-left:0in;line-height:150%"><span
style="font-size:12pt;line-height:150%;font-family:Helvetica;color:rgb(32,32,32)"><br>
                                                          </span><strong><span
style="font-size:9pt;line-height:150%;font-family:Arial,sans-serif;color:rgb(32,32,32)">Abstract</span></strong><span
style="font-size:12pt;line-height:150%;font-family:Helvetica;color:rgb(32,32,32)"><br>
                                                          In a long
                                                          paper in the <em><span
style="font-family:Helvetica">Journal of Economic Literature</span></em> Axtell
                                                          and Farmer
                                                          review
                                                          agent-based
                                                          modeling (ABM)
                                                          in economics
                                                          and finance
                                                          and highlight
                                                          how it can be
                                                          used to relax
                                                          conventional
                                                          assumptions in
                                                          standard
                                                          models. ABM
                                                          has enriched
                                                          the
                                                          understanding
                                                          of markets,
                                                          industrial
                                                          organization,
                                                          labor, macro,
                                                          development,
                                                          and
                                                          environmental
                                                          economics. In
                                                          finance,
                                                          substantial
                                                          accomplishments
                                                          include
                                                          understanding
                                                          clustered
                                                          volatility,
                                                          market impact,
                                                          systemic risk,
                                                          and housing
                                                          markets. A
                                                          vision is
                                                          presented for
                                                          how ABMs might
                                                          be used in the
                                                          future to
                                                          build more
                                                          realistic
                                                          models of the
                                                          economy.
                                                          Hurdles that
                                                          must be
                                                          overcome to
                                                          achieve this
                                                          are discussed.
                                                          Their paper
                                                          includes more
                                                          than 800
                                                          references
                                                          including many
                                                          from adjacent
                                                          fields.<br>
                                                           <br>
                                                          Biographs<br>
                                                          <strong><span
style="font-family:Helvetica">Professor Axtell</span></strong> is the
                                                          author, with
                                                          Joshua
                                                          Epstein, of
                                                          Growing
                                                          Artificial
                                                          Societies:
                                                          Social Science
                                                          from the
                                                          Bottom Up (MIT
                                                          Press). His
                                                          research has
                                                          appeared in <em><span
style="font-family:Helvetica">Science</span></em>, <em><span
style="font-family:Helvetica">Nature</span></em>, <em><span
style="font-family:Helvetica">Proceedings of the National Academy of
                                                          Sciences</span></em>,
                                                          as well as in
                                                          leading
                                                          field-specific
                                                          journals such
                                                          as <em><span
style="font-family:Helvetica">The Journal of Economic Literature, The
                                                          American
                                                          Economic
                                                          Review</span></em>,
                                                          <em><span
style="font-family:Helvetica">The Economic</span></em> <em><span
style="font-family:Helvetica">Journal</span></em>, and many others. His
                                                          research has
                                                          been reprised
                                                          in newspapers
                                                          (e.g., <em><span
style="font-family:Helvetica">Wall St. Journal</span></em>, <em><span
style="font-family:Helvetica">Los Angeles Times</span></em>, <em><span
style="font-family:Helvetica">Washington Post</span></em>) and science
                                                          magazines
                                                          (e.g., <em><span
style="font-family:Helvetica">Scientific American</span></em>, <em><span
style="font-family:Helvetica">Technology Review, Wired</span></em>). For
                                                          the past
                                                          decade he has
                                                          been using
                                                          microdata on
                                                          individuals to
                                                          build
                                                          large-scale
                                                          models of the
                                                          Financial
                                                          Crisis of
                                                          2008-9 (with
                                                          JD Farmer,
                                                          Oxford, and J
                                                          Geanakoplos,
                                                          Yale), the
                                                          dynamics of
                                                          business firms
                                                          (with O
                                                          Guerrero,
                                                          Turing
                                                          Institute),
                                                          and natural
                                                          resource
                                                          exploitation,
                                                          e.g.,
                                                          fisheries
                                                          (with UC Santa
                                                          Barbara,
                                                          Oxford, and
                                                          the Ocean
                                                          Conservancy).
                                                          The research
                                                          on companies
                                                          is described
                                                          at length in a
                                                          forthcoming
                                                          book,
                                                          ‘Dynamics of
                                                          Firms from the
                                                          Bottom Up:
                                                          Data,
                                                          Theories, and
                                                          Models’, due
                                                          out next year,
                                                          which uses
                                                          U.S.
                                                          micro-data on
                                                          firm sizes,
                                                          ages, growth
                                                          rates,
                                                          networks, and
                                                          locations to
                                                          create a model
                                                          at 1:1 scale
                                                          with the
                                                          American
                                                          economy.<br>
                                                           <br>
                                                          <strong><span
style="font-family:Helvetica">Prof. Doyne Farmer</span></strong> is an
                                                          American
                                                          complex
                                                          systems
                                                          scientist and
                                                          entrepreneur
                                                          with interests
                                                          in chaos
                                                          theory,
                                                          complexity and
                                                          econophysics.
                                                          He has
                                                          published
                                                          papers in <em><span
style="font-family:Helvetica">Science</span></em> and <em><span
style="font-family:Helvetica">Nature</span></em> as well as leading
                                                          economics
                                                          journals like
                                                          the <em><span
style="font-family:Helvetica">Journal of Economic Behavior &
                                                          Organization</span></em>.
                                                          He is Baillie
                                                          Gifford
                                                          Professor of
                                                          Complex
                                                          Systems
                                                          Science at the
                                                          Smith School
                                                          of Enterprise
                                                          and the
                                                          Environment,
                                                          Oxford
                                                          University,
                                                          where he is
                                                          also director
                                                          of the
                                                          Complexity
                                                          Economics
                                                          programme at
                                                          the Institute
                                                          for New
                                                          Economic
                                                          Thinking at
                                                          the Oxford
                                                          Martin School.
                                                          Additionally,
                                                          he is an
                                                          external
                                                          professor at
                                                          the Santa Fe
                                                          Institute. His
                                                          current
                                                          research is on
                                                          complexity
                                                          economics,
                                                          focusing on
                                                          systemic risk
                                                          in financial
                                                          markets and
                                                          technological
                                                          progress. He
                                                          has recently
                                                          published a
                                                          book entitled
                                                          ‘Making Sense
                                                          of Chaos: A
                                                          Better
                                                          Economics for
                                                          a Better
                                                          World.’<br>
                                                          <br>
                                                          </span><span
style="font-size:9pt;line-height:150%;font-family:Arial,sans-serif;color:rgb(32,32,32)">CSSSA
                                                          Secretary is
                                                          inviting you
                                                          to a scheduled
                                                          Zoom meeting.<br>
                                                          <br>
                                                          Topic: CSSSA
                                                          April Webinar<br>
                                                          Time: Apr 2,
                                                          2025 10:00 AM
                                                          Eastern Time
                                                          (US and
                                                          Canada)<br>
                                                          Join Zoom
                                                          Meeting<br>
                                                          <a
href="https://us02web.zoom.us/j/82181451627?pwd=uYQJrmdphT9pefWvGKbhQgxQby3beG.1"
target="_blank" moz-do-not-send="true" class="moz-txt-link-freetext">https://us02web.zoom.us/j/82181451627?pwd=uYQJrmdphT9pefWvGKbhQgxQby3beG.1</a><br>
                                                          <br>
                                                          Meeting ID:
                                                          821 8145 1627<br>
                                                          Passcode:
                                                          csssa2025<br>
                                                          <br>
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                                                          Passcode:
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                                                          <br>
                                                          Find your
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style="padding:0in 13.5pt 6.75pt" valign="top">
                                                          <p
class="MsoNormal" style="text-align:center;line-height:150%"
                                                          align="center"><em><span
style="font-size:9pt;line-height:150%;font-family:Helvetica;color:rgb(101,101,101)">Copyright
                                                          © 2025
                                                          Computational
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                                                          <br>
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                                                          you have
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                                                          <br>
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style="font-size:11pt"> </span></p>
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style="width:100%;border-collapse:collapse;min-width:100%" width="100%"
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style="padding:7.5pt 13.5pt 18.75pt;min-width:100%">
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style="width:100%;border-collapse:collapse;border:none;min-width:100%"
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cellspacing="0" cellpadding="0" border="1">
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style="border-right:none;border-bottom:none;border-left:none;border-top:1.5pt solid rgb(238,238,238);padding:0in;min-width:100%"><br>
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                            <p class="MsoNormal"><span
                                style="font-size:11pt"> ͏  ͏  ͏
                                 ͏ ͏  ͏  ͏  ͏ ͏  ͏  ͏  ͏ ͏  ͏
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                          <div>
                            <p class="MsoNormal"><span
                                style="font-size:1pt"><b>Error! Filename
                                  not specified.</b></span></p>
                          </div>
                        </div>
                      </div>
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      <pre class="moz-quote-pre" wrap="">.- .-.. .-.. / ..-. --- --- - . .-. ... / .- .-. . / .-- .-. --- -. --. / ... --- -- . / .- .-. . / ..- ... . ..-. ..- .-..
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FRIAM-COMIC <a class="moz-txt-link-freetext" href="http://friam-comic.blogspot.com/">http://friam-comic.blogspot.com/</a>
archives:  5/2017 thru present <a class="moz-txt-link-freetext" href="https://redfish.com/pipermail/friam_redfish.com/">https://redfish.com/pipermail/friam_redfish.com/</a>
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</pre>
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