Nonlinearity, Complexity and Randomness in Economics - Towards Algorithmic Foundations for Economics
Published on 17. February 2012
Software
Other digital
248 pages
978-1-118-30044-2 (ISBN)
Description
Nonlinearity, Complexity and Randomness in Economics presents a variety of papers by leading economists, scientists, and philosophers who focus on different aspects of nonlinearity, complexity and randomness, and their implications for economics. A theme of the book is that economics should be based on algorithmic, computable mathematical foundations. Features an interdisciplinary collection of papers by economists, scientists, and philosophers Presents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexity Reveals how economics today must be based on algorithmic, computable mathematical foundations
More details
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Dimensions
Height: 250 mm
Width: 150 mm
Thickness: 15 mm
Weight
666 gr
ISBN-13
978-1-118-30044-2 (9781118300442)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Stefano Zambelli | Donald A. R. George
Nonlinearity, Complexity and Randomness in Economics
Towards Algorithmic Foundations for Economics
E-Book
02/2013
Wiley-Blackwell
€21.99
Available for download
Stefano Zambelli | Donald A. R. George
Nonlinearity, Complexity and Randomness in Economics
Towards Algorithmic Foundations for Economics
E-Book
01/2012
Wiley-Blackwell
€21.99
Available for download
Person
Stefano Zambelli is Professor of Political Economy at the Department of Economics, University of Trento, Italy. He is also a founding member of the Algorithmic Social Sciences Research Unit (ASSRU) at University of Trento. Donald A.R. George is Senior Lecturer in Economics at the University of Edinburgh. He has published extensively on the economics of self-management, economic dynamics, and the economics of product reliability, and is joint founding Editor of the Journal of Economic Surveys .
Content
Notes on Contributors vii 1. Introduction 1 Stefano Zambelli 2. Towards an Algorithmic Revolution in Economic Theory 7 K. Vela Velupillai 3. An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets 37 Hector Zenil and Jean-Paul Delahaye 4. Complexity and Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modelling 69 Sundar Sarukkai 5. Behavioural Complexity 85 Sami Al-Suwailem 6. Bounded Rationality and the Emergence of Simplicity Amidst Complexity 111 Cassey Lee 7. Emergent Complexity in Agent-Based Computational Economics 131 Shu-Heng Chen and Shu G.Wang 8. Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations 151 K. Vela Velupillai 9. Stock-Flow Interactions, Disequilibrium Macroeconomics and the Role of Economic Policy 173 Toichiro Asada, Carl Chiarella, Peter Flaschel, Tarik Mouakil, Christian Proa"no andWilli Semmler 10. Equilibrium Versus Market Efficiency: Randomness versus Complexity in Finance Markets 203 Joseph L. McCauley 11. Flexible Accelerator Economic Systems as Coupled Oscillators 211 Stefano Zambelli 12. Shifting Sands: Non-Linearity, Complexity and Randomness in Economics 237 Donald A.R. George Index 241