Back to results
Cover image for book Computable Foundations for Economics

Computable Foundations for Economics

By:K. Vela Velupillai
Publisher:Taylor & Francis
Print ISBN:9780415586207
eText ISBN:9781134253364
Edition:1
Copyright:2010
Format:Reflowable

eBook Features

Instant Access

Purchase and read your book immediately

Read Offline

Access your eTextbook anytime and anywhere

Study Tools

Built-in study tools like highlights and more

Read Aloud

Listen and follow along as Bookshelf reads to you

Computable Foundations for Economics is 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.

• 2026 © SAU Tech Bookstore. All Rights Reserved.