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Shackle And Modern Decision Theory

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  • Marcello Basili
  • Carlo Zappia

Abstract

The paper discusses the role of George L.S. Shackle in fostering an unconventional approach to individual decision making. Up until the early 1970s Shackle was the single critic of the probabilistic approach to decision making who proposed an alternative formal corpus for dealing with uncertainty. The main aim of the paper is to analyse Shackle's non‐probabilistic conceptualization of individual decisions under uncertainty from a specific viewpoint, namely that of a possible connection between his theory and one of the most interesting recent approaches to decision under uncertainty, the so‐called non‐additive probability approach of Gilboa and Schmeidler. The paper shows that these developments in modern decision theory take Shackle's issue seriously and confirm that the reliance of strict Bayesian theory on probabilistic judgements based on point‐probability estimates, a reliance that Shackle intended to oppose, is untenable. Non‐additive decision theory also provides a usage of non‐additive probability distributions in choice that is an alternative to Shackle's approach of using a qualitative notion of probability, such as potential surprise.

Suggested Citation

  • Marcello Basili & Carlo Zappia, 2009. "Shackle And Modern Decision Theory," Metroeconomica, Wiley Blackwell, vol. 60(2), pages 245-282, May.
  • Handle: RePEc:bla:metroe:v:60:y:2009:i:2:p:245-282
    DOI: 10.1111/j.1467-999X.2008.00333.x
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    3. Wright, George & Cairns, George & O'Brien, Frances A. & Goodwin, Paul, 2019. "Scenario analysis to support decision making in addressing wicked problems: Pitfalls and potential," European Journal of Operational Research, Elsevier, vol. 278(1), pages 3-19.
    4. Derbyshire, James & Giovannetti, Emanuele, 2017. "Understanding the failure to understand New Product Development failures: Mitigating the uncertainty associated with innovating new products by combining scenario planning and forecasting," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 334-344.
    5. Derbyshire, James, 2017. "Potential surprise theory as a theoretical foundation for scenario planning," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 77-87.
    6. Carlo Zappia, 2008. "Non-Bayesian decision theory ante-litteram: the case of G. L. S. Shackle," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 0408, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
    7. Carlo Zappia, 2012. "Re-reading Keynes after the crisis: probability and decision," Department of Economics University of Siena 646, Department of Economics, University of Siena.
    8. Basili, Marcello & Zappia, Carlo, 2009. "Keynes's "non-numerical" probabilities and non-additive measures," Journal of Economic Psychology, Elsevier, vol. 30(3), pages 419-430, June.

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