Nonlinearity, Complexity and Randomness in Economics (PDF)
Towards Algorithmic Foundations for Economics
(Sprache: Englisch)
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....
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....
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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
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
Inhaltsverzeichnis zu „Nonlinearity, Complexity and Randomness in Economics (PDF)“
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
Autoren-Porträt
Stefano Zambelli is Professor of Political Economy at theDepartment 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.
Bibliographische Angaben
- 2013, 1. Auflage, 256 Seiten, Englisch
- Herausgegeben: Stefano Zambelli, Donald A. R. George
- Verlag: John Wiley & Sons
- ISBN-10: 1118300424
- ISBN-13: 9781118300428
- Erscheinungsdatum: 28.02.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
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- Größe: 5.90 MB
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Englisch
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