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 <[email protected]> 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 <[email protected]> on behalf of Pieter Steenekamp < > [email protected]> > *Date: *Saturday, April 5, 2025 at 3:45 AM > *To: *The Friday Morning Applied Complexity Coffee Group < > [email protected]> > *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 <[email protected]> > wrote: > > > > > > ---------- Forwarded message --------- > From: *Computational Social Science Society of the Americas* < > [email protected]> > Date: Fri, Mar 28, 2025, 7:10 PM > Subject: CSSSA April Webinar > To: <[email protected]> > > > > 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. 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