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Information, Uncertainty & Espionage

Author

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  • Peter J Phillips

    (University of Southern Queensland)

  • Gabriela Pohl

    (University of Southern Queensland)

Abstract

Intelligence scholars are drawing on behavioural decision theory to improve decision-making under risk and uncertainty in intelligence and counterintelligence. Such an undertaking is essentially lacking without the Austrian school’s concepts of knowledge, discovery, (entrepreneurial) judgement, ignorance, rational calculation and, more generally, its analysis of human action in the face of true uncertainty. Decision theory, both orthodox and behavioural, depicts decision rather narrowly as a prioritisation task undertaken within a delineated problem space where the probabilities “sum to one”. From such a perspective, certain perennial challenges in intelligence and counterintelligence appear resolvable when in fact they are not, at least not when approached from the usual direction. We explain how Austrian concepts can complement efforts to improve intelligence decision-making. We conclude that the future strategic value of intelligence analysis is located beyond information acquisition, however fast and however vast. Intelligence agencies have no price signals to help them determine how much intelligence to produce. And governments have no price signals to moderate their appetites for the intelligence product. Ultimately, those agencies that recognise the implications of intelligence agencies as non-price institutions and adapt their decision-making processes may find that they have the upper hand over their rivals.

Suggested Citation

  • Peter J Phillips & Gabriela Pohl, 2024. "Information, Uncertainty & Espionage," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 37(1), pages 35-54, March.
    • Handle: RePEc:kap:revaec:v:37:y:2024:i:1:d:10.1007_s11138-022-00587-8
    DOI: 10.1007/s11138-022-00587-8
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    References listed on IDEAS

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    1. Nisan, Noam & Ronen, Amir, 2001. "Algorithmic Mechanism Design," Games and Economic Behavior, Elsevier, vol. 35(1-2), pages 166-196, April.
    2. Israel M. Kirzner, 1997. "Entrepreneurial Discovery and the Competitive Market Process: An Austrian Approach," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 60-85, March.
    3. Charles Hitch, 1953. "Sub-Optimization in Operations Problems," Operations Research, INFORMS, vol. 1(3), pages 87-99, May.
    4. Zeckhauser, Richard Jay & Friedman, Jeffrey Allan, 2012. "Assessing Uncertainty in Intelligence," Scholarly Articles 9359827, Harvard Kennedy School of Government.
    5. Lachmann, Ludwig M, 1976. "From Mises to Shackle: An Essay on Austrian Economics and the Kaleidic Society," Journal of Economic Literature, American Economic Association, vol. 14(1), pages 54-62, March.
    6. Mark D. Packard & Brent B. Clark & Peter G. Klein, 2017. "Uncertainty Types and Transitions in the Entrepreneurial Process," Organization Science, INFORMS, vol. 28(5), pages 840-856, October.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. Daniel Ellsberg, 1961. "Risk, Ambiguity, and the Savage Axioms," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 75(4), pages 643-669.
    9. Weitzman, Martin L, 1979. "Optimal Search for the Best Alternative," Econometrica, Econometric Society, vol. 47(3), pages 641-654, May.
    10. Fishburn, Peter C, 1989. "Retrospective on the Utility Theory of von Neumann and Morgenstern," Journal of Risk and Uncertainty, Springer, vol. 2(2), pages 127-157, June.
    11. Richard R. Nelson & Sidney G. Winter, 2002. "Evolutionary Theorizing in Economics," Journal of Economic Perspectives, American Economic Association, vol. 16(2), pages 23-46, Spring.
    12. Frederic Sautet, 2018. "The battle for the essence of entrepreneurship," The Review of Austrian Economics, Springer;Society for the Development of Austrian Economics, vol. 31(1), pages 123-139, March.
    13. William F. Sharpe, 1964. "Capital Asset Prices: A Theory Of Market Equilibrium Under Conditions Of Risk," Journal of Finance, American Finance Association, vol. 19(3), pages 425-442, September.
    14. Huck, Nicolas, 2019. "Large data sets and machine learning: Applications to statistical arbitrage," European Journal of Operational Research, Elsevier, vol. 278(1), pages 330-342.
    15. Olszewski, Wojciech & Weber, Richard, 2015. "A more general Pandora rule?," Journal of Economic Theory, Elsevier, vol. 160(C), pages 429-437.
    16. Nicolas Huck, 2019. "Large data sets and machine learning: Applications to statistical arbitrage," Post-Print hal-02143971, HAL.
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