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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…mehr

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Produktbeschreibung
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

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  • Produktdetails
  • Verlag: John Wiley & Sons
  • Seitenzahl: 256
  • Erscheinungstermin: 17.01.2012
  • Englisch
  • ISBN-13: 9781118300435
  • Artikelnr.: 37341710
Autorenporträt
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.
Inhaltsangabe
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 ProaÜno 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