
Making Sense of Chaos
A Better Economics for a Better World
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Narrated by:
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J. Doyne Farmer
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By:
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J. Doyne Farmer
About this listen
From a pioneer in the field of complexity science and chaos theory, a plan for solving the world’s most pressing problems
“Farmer convincingly argues that by using big data and today’s more powerful computers, we can build more realistic models and simulations of the global economy. . . . Farmer’s vision will undoubtedly be significant in how economics evolves.”—Tej Parikh, Financial Times, “Best New Books on Economics”
“Both a manifesto for a revolution in economics and a memoir of an unusual career.”—Ed Ballard, Wall Street Journal
We live in an age of increasing complexity—an era of accelerating technology and global interconnection that holds more promise, and more peril, than any other time in human history. The fossil fuels that have powered global wealth creation now threaten to destroy the world they helped build. Automation and digitization promise prosperity for some, unemployment for others. Financial crises fuel growing inequality, polarization, and the retreat of democracy. At heart, all these problems are rooted in the economy, yet the guidance provided by economic models has often failed.
Many books have been written about J. Doyne Farmer and his work, but this is the first in his own words. It presents a manifesto for how to do economics better. In this tale of science and ideas, Farmer fuses his profound knowledge and expertise with stories from his life to explain how we can bring a scientific revolution to bear on the economic conundrums facing society.
Using big data and ever more powerful computers, we are now able for the first time to apply complex systems science to economic activity, building realistic models of the global economy. The resulting simulations and the emergent behavior we observe form the cornerstone of the science of complexity economics, allowing us to test ideas and make significantly better economic predictions—to better address the hard problems facing the world.
PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2024 J. Doyne Farmer (P)2024 Penguin AudioListeners also enjoyed...
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Story
We are living through a revolution in machine learning-powered AI that shows no signs of slowing down. This technology is based on relatively simple mathematical ideas, some of which go back centuries, including linear algebra and calculus, the stuff of seventeenth- and eighteenth-century mathematics. It took the birth and advancement of computer science and the kindling of 1990s computer chips designed for video games to ignite the explosion of AI that we see today. In this enlightening book, Anil Ananthaswamy explains the fundamental math behind machine learning.
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A great listen, but a physical book is pre appropriate
- By Sameer D. on 11-07-24
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AI Snake Oil
- What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
- By: Sayash Kapoor, Arvind Narayanan
- Narrated by: Landon Woodson
- Length: 9 hrs and 58 mins
- Unabridged
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Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor cut through the confusion to give you an essential understanding of how AI works, why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.
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Basic level information nothing new here
- By Al on 10-09-24
By: Sayash Kapoor, and others
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The Technological Republic
- Hard Power, Soft Belief, and the Future of the West
- By: Alexander C. Karp, Nicholas W. Zamiska
- Narrated by: Nicholas W. Zamiska
- Length: 6 hrs and 50 mins
- Unabridged
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In this groundbreaking treatise, Palantir co-founder and CEO Alexander C. Karp and Nicholas W. Zamiska offer a searing critique of our collective abandonment of ambition, arguing that in order for the U.S. and its allies to retain their global edge—and preserve the freedoms we take for granted—the software industry must renew its commitment to addressing our most urgent challenges, including the new arms race of artificial intelligence. The government, in turn, must embrace the most effective features of the engineering mindset that has propelled Silicon Valley’s success.
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Incoherent ramblings
- By Not Dick Hausler on 04-02-25
By: Alexander C. Karp, and others
A Very Important Book and a Great Story of Perseverence
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Conventional macroeconomics is a joke. The tools are antiquated and the analysis tainted by assumptions that have been disproven repeatedly. That makes this story that Doyne set out to tell here so important.
Unfortunately, he was the wrong person to write and tell this story.
This book desperately needed a writer and EDITOR that organized the material and story much more logically than is told here. Doyne has made so many wonderful contributions to complexity science that he lost the thread of the story he is telling -- why complexity science is a superior methodology for analyzing, forecasting and managing the economy -- and instead continously peppered the narrative with tangentially related stories of his research, which are fascinating but often seem wandering.
i would still recommend this book but i firmly believe there is a better one to be written on this topic and i sincerely hope someone writes it.
Doyne Farmer is brilliant but...
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The best economics book I’ve ever read
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