Idealizations of Uncertainty, and Lessons from Artificial Intelligence
At a time when economics is giving intense scrutiny to the likely impact of artificial intelligence (AI) on the global economy, this paper suggests the two disciplines face a common problem when it comes to uncertainty. It is argued that, despite the enormous achievements of AI systems, it would be a serious mistake to suppose that such systems, unaided by human intervention, are as yet any nearer to providing robust solutions to the problems posed by Keynesian uncertainty. Under the radically uncertain conditions, human decision-making (for all its problems) has proved relatively robust, while decision making relying solely on deterministic rules or probabilistic models is bound to be brittle. AI remains dependent on techniques that are seldom seen in human decision-making, including assumptions of fully enumerable spaces of future possibilities, which are rigorously computed over, and extensively searched. Discussion of alternative models of human decision making under uncertainty follows, suggesting a future research agenda in this area of common interest to AI and economics.
Volume (Year): 10 (2016)
Issue (Month): ()
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- Simon, Herbert A, 1978. "Rationality as Process and as Product of Thought," American Economic Review, American Economic Association, vol. 68(2), pages 1-16, May.
- Herbert A. Simon, 1955. "A Behavioral Model of Rational Choice," The Quarterly Journal of Economics, Oxford University Press, vol. 69(1), pages 99-118.
- Benjamin Y. Hayden & Michael L. Platt, 2009. "The mean, the median, and the St. Petersburg paradox," Judgment and Decision Making, Society for Judgment and Decision Making, vol. 4(4), pages 256-272, June.
- Anna Conte & John Hey, 2013.
"Assessing multiple prior models of behaviour under ambiguity,"
Journal of Risk and Uncertainty,
Springer, vol. 46(2), pages 113-132, April.
- Ana Conte & John D. Hey, 2011. "Assessing Multiple Prior Models of Behaviour under Ambiguity," Jena Economic Research Papers 2011-068, Friedrich-Schiller-University Jena.
- Anna Conte & John D. Hey, 2012. "Assessing Multiple Prior Models of Behaviour under Ambiguity," Discussion Papers 12/01, Department of Economics, University of York.
- Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- Grazia Cecere, 2015. "The economics of innovation: a review article," The Journal of Technology Transfer, Springer, vol. 40(2), pages 185-197, April. Full references (including those not matched with items on IDEAS)
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