[FRIAM] Fwd: CSSSA April Webinar

Sat Apr 5 21:42:53 EDT 2025

Very good, thanks! I was actually thinking of creating a toy project like
that myself to play around with, but I need to change my mindset — why not
let AI do it? That could be great fun!

On Sat, 5 Apr 2025 at 23:26, Marcus Daniels <marcus at snoutfarm.com> wrote:

>
>    1. Download Github Copilot.  Add Python module.
>    2. Get a Claude Console subscription.  Select Claude Sonnet 3.7 in
>    Github Copilot.
>    3. Open the Chat window and select Agent.
>    4. 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.
>    5. Press Run.
>    6. Play with dog.
>
>
>
> *From: *Friam <friam-bounces at redfish.com> on behalf of Pieter Steenekamp <
> pieters at randcontrols.co.za>
> *Date: *Saturday, April 5, 2025 at 3:45 AM
> *To: *The Friday Morning Applied Complexity Coffee Group <
> friam at redfish.com>
> *Subject: *Re: [FRIAM] Fwd: CSSSA April Webinar
>
> I listened to the above webinar on Agent-Based Modeling (ABM) in Economics
> and Finance, and would like to share a few reflections:
>
> 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.
>
> But let me return to ABM in the context of Economics and Finance.
>
> 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?
>
> 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.
>
>
>
> On Sat, 29 Mar 2025 at 09:53, Stephen Guerin <stephen.guerin at simtable.com>
> wrote:
>
>
>
>
>
> ---------- Forwarded message ---------
> From: *Computational Social Science Society of the Americas* <
> newsletter at computationalsocialscience.org>
> Date: Fri, Mar 28, 2025, 7:10 PM
> Subject: CSSSA April Webinar
> To: <stephen.guerin at simtable.com>
>
>
>
> View this email in your browser
> <https://mailchi.mp/6007323ec35a/csssa-april-webinar?e=8cb4039763>
>
> [image: Image removed by sender.]
> Dear CSSSA members,
> We are very excited to host *Robert Axtell and Doyne Farmer* discussing* “Agent-Based
> Modeling in the Economics and Finence*” in our 2025 webinar series on *Wednesday,
> April 2nd, at 10 am (ET) . **Click here to register for the webinar*
> <https://computationalsocialscience.us9.list-manage.com/track/click?u=4f667f8d01c7a2b9a0490726c&id=2172fd08e1&e=8cb4039763>
>
>
> [image: Image removed by sender.]
>
>
>
>
> *Abstract*
> In a long paper in the *Journal of Economic Literature* 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.
>
> Biographs
> *Professor Axtell* is the author, with Joshua Epstein, of Growing
> Artificial Societies: Social Science from the Bottom Up (MIT Press). His
> research has appeared in *Science*, *Nature*, *Proceedings of the
> National Academy of Sciences*, as well as in leading field-specific
> journals such as *The Journal of Economic Literature, The American
> Economic Review*, *The Economic* *Journal*, and many others. His research
> has been reprised in newspapers (e.g., *Wall St. Journal*, *Los Angeles
> Times*, *Washington Post*) and science magazines (e.g., *Scientific
> American*, *Technology Review, Wired*). 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.
>
> *Prof. Doyne Farmer* is an American complex systems scientist and
> entrepreneur with interests in chaos theory, complexity and econophysics.
> He has published papers in *Science* and *Nature* as well as leading
> economics journals like the *Journal of Economic Behavior & Organization*.
> 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.’
>
> CSSSA Secretary is inviting you to a scheduled Zoom meeting.
>
> Topic: CSSSA April Webinar
> Time: Apr 2, 2025 10:00 AM Eastern Time (US and Canada)
> Join Zoom Meeting
> https://us02web.zoom.us/j/82181451627?pwd=uYQJrmdphT9pefWvGKbhQgxQby3beG.1
>
> Meeting ID: 821 8145 1627
> Passcode: csssa2025
>
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