相比传统的均衡模型，基于主体建模（Agent-based modeling）为经济系统提供了一种更贴近现实的方法。包括生成式智能体（ABM+LLM）在内的新方法前景广阔。对于对该领域感兴趣的人来说，J. Doyne Farmer 最近的新书《混乱中见秩序：创造更美好世界的更优经济学》（Making Sense of Chaos: A Better Economics for a Better World）是一本极好的读物。https://www.amazon.com/Making-Sense-Chaos-author/dp/02412019...
Agent-based modeling offers a more realistic approach to economic systems than traditional equilibrium models. New approachs including generative agents (ABM+LLMs) are promising. J. Doyne Farmer's recent book "Making Sense of Chaos: A Better Economics for a Better World" is a great reading for those interested in this field. https://www.amazon.com/Making-Sense-Chaos-author/dp/02412019...
这篇人物专访显然是配合 J. Doyne Farmer 今年四月出版新书《混乱中见秩序：创造更美好世界的更优经济学》（Making Sense of chaos: A Better Economics for a Better World）所作的部分宣传报道。更多关于该书的内容，以及其他文章、采访、讲座等，可参见牛津大学 Inet 网站：<https://www.inet.ox.ac.uk/news/the-man-reinventing-economics...>。
This profile is apparently in part of the coverage of J. Doyne Farmer with the publishing of his new book, Making Sense of chaos: A Better Economics for a Better World, released this past April. More on that, and other articles, interviews, talks, etc., at Oxford's Inet site: <https://www.inet.ox.ac.uk/news/the-man-reinventing-economics...>.
……《重塑大脑，重塑人生》（The Brain That Changes Itself）。https://en.wikipedia.org/wiki/The_Brain_That_Changes_Itself 总结我读这本书的心得，目前的研究似乎支持这样一种观点，即我们的大脑本质上就是在“理清混乱（making sense of chaos）”：并没有什么标准化的协议——我们只是自动从随机的输入流中解码出规律模式罢了。
…Brain That Changes Itself. https://en.wikipedia.org/wiki/The_Brain_That_Changes_Itself In summary from my reading of the book, current research seems to back the perspective that our brains are basically making sense of chaos: there's no standardized protocol - we automatically decode patterns from random streams of input.
Doyne Farmer 在牛津的团队就沿着这个思路在做“基于主体”（agent-based）的经济学仿真。他出了一本新书叫《混乱中见秩序》（Making Sense of Chaos），专门介绍了这个领域。
Doyne Farmer's group at Oxford does 'agent-based' economics simulations in this vein. He has a new book called 'Making Sense of Chaos' that describes it.
相比传统的均衡模型，基于主体建模（Agent-based modeling）为经济系统提供了一种更贴近现实的方法。包括生成式智能体（ABM+LLM）在内的新方法前景广阔。对于对该领域感兴趣的人来说，J. Doyne Farmer 最近的新书《混乱中见秩序：创造更美好世界的更优经济学》（Making Sense of Chaos: A Better Economics for a Better World）是一本极好的读物。https://www.amazon.com/Making-Sense-Chaos-author/dp/02412019...
Agent-based modeling offers a more realistic approach to economic systems than traditional equilibrium models. New approachs including generative agents (ABM+LLMs) are promising. J. Doyne Farmer's recent book "Making Sense of Chaos: A Better Economics for a Better World" is a great reading for those interested in this field. https://www.amazon.com/Making-Sense-Chaos-author/dp/02412019...
这篇人物专访显然是配合 J. Doyne Farmer 今年四月出版新书《混乱中见秩序：创造更美好世界的更优经济学》（Making Sense of chaos: A Better Economics for a Better World）所作的部分宣传报道。更多关于该书的内容，以及其他文章、采访、讲座等，可参见牛津大学 Inet 网站：<https://www.inet.ox.ac.uk/news/the-man-reinventing-economics...>。
This profile is apparently in part of the coverage of J. Doyne Farmer with the publishing of his new book, Making Sense of chaos: A Better Economics for a Better World, released this past April. More on that, and other articles, interviews, talks, etc., at Oxford's Inet site: <https://www.inet.ox.ac.uk/news/the-man-reinventing-economics...>.
……《重塑大脑，重塑人生》（The Brain That Changes Itself）。https://en.wikipedia.org/wiki/The_Brain_That_Changes_Itself 总结我读这本书的心得，目前的研究似乎支持这样一种观点，即我们的大脑本质上就是在“理清混乱（making sense of chaos）”：并没有什么标准化的协议——我们只是自动从随机的输入流中解码出规律模式罢了。
…Brain That Changes Itself. https://en.wikipedia.org/wiki/The_Brain_That_Changes_Itself In summary from my reading of the book, current research seems to back the perspective that our brains are basically making sense of chaos: there's no standardized protocol - we automatically decode patterns from random streams of input.
Doyne Farmer 在牛津的团队就沿着这个思路在做“基于主体”（agent-based）的经济学仿真。他出了一本新书叫《混乱中见秩序》（Making Sense of Chaos），专门介绍了这个领域。
Doyne Farmer's group at Oxford does 'agent-based' economics simulations in this vein. He has a new book called 'Making Sense of Chaos' that describes it.