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Prediction markets as meta‐episteme: Artificial intelligence, forecasting tournaments, prediction markets, and economic growth

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  • Ryan H. Murphy

Abstract

This paper presents a speculative framework suggesting that prediction markets (or its epistemic cousins such as artificial intelligence or forecasting tournaments) may constitute a break in the expansion of human knowledge in a manner similar to the impact of the Scientific and Industrial Revolutions. Just as the scientific understanding of the natural world facilitated the development of useful technologies to move far faster than what is allowed by blind evolution and tinkering, tools such as prediction markets allow for scientific knowledge to move faster than its current evolutionary process. The intellectual bases for these tools, such as the interpretation of probabilities as bets, are relatively recent additions to human knowledge, which may have significant implications for how we evaluate past thinkers, versus what is now possible or may be possible in the future.

Suggested Citation

  • Ryan H. Murphy, 2024. "Prediction markets as meta‐episteme: Artificial intelligence, forecasting tournaments, prediction markets, and economic growth," American Journal of Economics and Sociology, Wiley Blackwell, vol. 83(2), pages 383-392, March.
    • Handle: RePEc:bla:ajecsc:v:83:y:2024:i:2:p:383-392
    DOI: 10.1111/ajes.12546
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    1. Robert J. Gordon, 2016. "The Rise and Fall of American Growth: The U.S. Standard of Living since the Civil War," Economics Books, Princeton University Press, edition 1, number 10544.
    2. Nicholas Bloom & Charles I. Jones & John Van Reenen & Michael Webb, 2020. "Are Ideas Getting Harder to Find?," American Economic Review, American Economic Association, vol. 110(4), pages 1104-1144, April.
    3. Peter J. Boettke & Christopher J. Coyne & Peter T. Leeson, 2015. "Institutional stickiness and the New Development Economics," Chapters, in: Laura E. Grube & Virgil Henry Storr (ed.), Culture and Economic Action, chapter 6, pages 123-146, Edward Elgar Publishing.
    4. William D. Nordhaus, 2021. "Are We Approaching an Economic Singularity? Information Technology and the Future of Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(1), pages 299-332, January.
    5. Maloney, Michael T. & Mulherin, J. Harold, 2003. "The complexity of price discovery in an efficient market: the stock market reaction to the Challenger crash," Journal of Corporate Finance, Elsevier, vol. 9(4), pages 453-479, September.
    6. W. William Woolsey & Scott Sumner, 2015. "Nominal GDP Futures Contract Targeting," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 23, pages 751-770, World Scientific Publishing Co. Pte. Ltd..
    7. Hanson, Robin, 2016. "The Age of Em: Work, Love, and Life when Robots Rule the Earth," OUP Catalogue, Oxford University Press, number 9780198754626.
    8. Joel Mokyr, 2016. "A Culture of Growth: The Origins of the Modern Economy," Economics Books, Princeton University Press, edition 1, number 10835.
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