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Computable Economics: The Arne Ryde Memorial Lectures

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  • Velupillai, K.
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    Abstract

    In the field of economic analysis, computability in the formation of economic hypotheses is seen as the way forward. In this book, Professor Velupillai implements a theoretical research program along these lines. Choice theory, learning rational expectations equlibria, the persistence of adaptive behaviour, arithmetical games, aspects of production theory, and economic dynamics are given recursion theoretic (i.e. computable) interpretations. These interpretations lead to new kinds of questions being posed by the economic theorist. In particular, recurison theoretic decision problems replace standard optimisation paradigms in economic analysis. Economic theoretic questions, posed recursion-theoretically, lead to answers that are ambiguous: undecidable choices, uncomputable learning processes, and algorithmically unplayable games become standard answers. Professor Velupillai argues that a recursion theoretic formalisation of economic analysisComputable Economicsmakes the subject intrinsically inductive and computational. Available in OSO: http://www.oxfordscholarship.com/oso/public/content/economicsfinance/0198295278/toc.html

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    Bibliographic Info

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    This book is provided by Oxford University Press in its series OUP Catalogue with number 9780198295273 and published in 2000.

    ISBN: 9780198295273
    Order: http://ukcatalogue.oup.com/product/9780198295273.do
    Handle: RePEc:oxp:obooks:9780198295273

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    Cited by:
    1. Edward W. Piotrowski & Jan Sladkowski, . "Quantum Game Theory in Finance," Departmental Working Papers 19, University of Bialtystok, Department of Theoretical Physics.
    2. Prasad, Kislaya, 2009. "The rationality/computability trade-off in finite games," Journal of Economic Behavior & Organization, Elsevier, vol. 69(1), pages 17-26, January.
    3. Francesco Luna, . "Computable Learning, Neural Networks and Institutions," Computing in Economics and Finance 1996 _037, Society for Computational Economics.
    4. Edward W. Piotrowski & Jan Sladkowski, . "Trading by Quantum Rules - Quantum Anthropic Principle," Departmental Working Papers 9, University of Bialtystok, Department of Theoretical Physics.
    5. Edward W. Piotrowski & Jan Sladkowski, . "The Next Stage: Quantum Game Theory," Departmental Working Papers 18, University of Bialtystok, Department of Theoretical Physics.
    6. Guglielmo Chiodi, 2012. "On Richard Goodwin’s Elementary Economics from the Higher Standpoint," ASSRU Discussion Papers 1219, ASSRU - Algorithmic Social Science Research Unit.
    7. K. Vela Velupillai & Stefano Zambelli, 2012. "Computability and Algorithmic Complexity in Economics," ASSRU Discussion Papers 1202, ASSRU - Algorithmic Social Science Research Unit.
    8. John Foster, 2005. "From simplistic to complex systems in economics," Cambridge Journal of Economics, Oxford University Press, vol. 29(6), pages 873-892, November.
    9. Holm, Hakan J., 2007. "Markets are more than Bits," Journal of Economic Behavior & Organization, Elsevier, vol. 63(2), pages 256-261, June.

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