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Re-reading Jevons's Principles of Science - Induction Redux

Author

Listed:
  • K. Vela Velupillai
Abstract
In this paper I try to substantiate the thesis that Jevons may have been too harsh on the vices of induction and generously optimistic about the virtues of deduction, as discussed, primarily, in his magnum opus, The Principles of Science [6]. With this aim in mind the paper attempts to suggest (modern), recursion theoretic, theoretical technologies that could reduce and, under conditions that I claim would be acceptable to Jevons, even eliminate the inductive indeterminacies that he had emphasised.

Suggested Citation

  • K. Vela Velupillai, 2007. "Re-reading Jevons's Principles of Science - Induction Redux," Department of Economics Working Papers 0729, Department of Economics, University of Trento, Italia.
    • Handle: RePEc:trn:utwpde:0729
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    File URL: http://www.unitn.it/files/29_07_vela.pdf
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    References listed on IDEAS

    as
    1. Francesco Luna, 1993. "From the History of Astronomy to the Wealth of Nations: Wonderful Wheels and Invisible Hands in Adam Smith's Major Works," UCLA Economics Working Papers 691, UCLA Department of Economics.
    2. R. D.C. Black, 1995. "Economic Theory And Policy In Context," Books, Edward Elgar Publishing, number 99.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Jevons; Inductiion; Inductive Inference; Bayes's Rule;
    All these keywords.

    JEL classification:

    • B16 - Schools of Economic Thought and Methodology - - History of Economic Thought through 1925 - - - Quantitative and Mathematical
    • B31 - Schools of Economic Thought and Methodology - - History of Economic Thought: Individuals - - - Individuals
    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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