Computable Foundations for Economics: Methodology and Philosophy by K. Vela VelupillaiComputable Foundations for Economics: Methodology and Philosophy by K. Vela Velupillai

Computable Foundations for Economics: Methodology and Philosophy

byK. Vela VelupillaiEditorK. Vela Velupillai

Hardcover | April 13, 2010

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Computable Foundations for Economicsis a unified collection of essays, some of which are published here for the first time and all of which have been updated for this book, on an approach to economic theory from the point of view of algorithmic mathematics. By algorithmic mathematics the author means computability theory and constructive mathematics. This is in contrast to orthodox mathematical economics and game theory, which are formalised with the mathematics of real analysis, underpinned by what is called the ZFC formalism, i.e., set theory with the axiom of choice. This reliance on ordinary real analysis and the ZFC system makes economic theory in its current mathematical mode completely non-algorithmic, which means it is numerically meaningless.

The book provides a systematic attempt to dissect and expose the non-algorithmic content of orthodox mathematical economics and game theory and suggests a reformalization on the basis of a strictly rigorous algorithmic mathematics. This removes the current schizophrenia in mathematical economics and game theory, where theory is entirely divorced from algorithmic applicability ' for experimental and computational exercises.

The chapters demonstrate the uncomputability and non-constructivity of core areas of general equilibrium theory, game theory and recursive macroeconomics. The book also provides a fresh look at the kind of behavioural economics that lies behind Herbert Simon's work, and resurrects a role for the noble classical traditions of induction and verification, viewed and formalised, now, algorithmically. It will therefore be of particular interest to postgraduate students and researchers in algorithmic economics, game theory and classical behavioural economics.

Vela Velupillaiis a Professor of Economics, both in the faculty of economics and in its graduate school, CIFREM, at the University of Trento, Italy. He is also a Senior Visiting Professor at the Madras School of Economics.
Title:Computable Foundations for Economics: Methodology and PhilosophyFormat:HardcoverDimensions:512 pages, 9.21 × 6.14 × 0.05 inPublished:April 13, 2010Publisher:Taylor and FrancisLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0415355672

ISBN - 13:9780415355674


Table of Contents

Part I: Foundations 1. The Incomputable, the Non'constructive and the Undecidable in Mathematical Economics 2. Advanced Computational Complexity Theory from an Elementary Standpoint 3. Economic Dynamics and Computation ' Recursion Theoretic Foundations for the Icarus Tradition 4: Let's Take the Con out of Mathematical EconomicsPart II: General Equilibrium Theory5. Effectivity and Constructivity in Economic Theory 6. Algorithmic Foundations of Computable General Equilibrium Theory 7. Uncomputability and Undecidability in Economic TheoryPart III: Methodology8. The Unreasonable Ineffectivity of Mathematics in Economics 9. A Constructive Interpretation of Sraffa's Mathematical Economics 10. The Computable Alternative in the Mathematization of EconomicsPart IV: Simon's Behavioural Economics ' A Computable Vision11. Computable Rationality 12. Boundedly Rational Choice and Satisficing Decisions 13. Simon's Epicurean Adventures ' A Prolegomena. Appendix 1 to Part IV: Artificing a Rationally Unbounded Life. Appendix 2 to Part IV: The Logic of Discovery, Problem Solving and Retroduction. Appendix 3 to Part IV: Herbert Simon's Letter on Computable EconomicsPart V: Inductive Reflections14. De-Mystifying Induction, Falsification and other Popperian Extravaganzas 15. Re-reading Jevons's Principles of Science: Induction Redux 16. Impossibility of Effectively Computable Inductive Policies in a Complex Dynamic Economy.Part VI: Concluding Notes 17. Epilogue ' A Research Program for the Algorithmic Social Sciences