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Nonlinearity, complexity and randomness in economics : towards algorithmic foundations for economics /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Zambelli, Stefano, George, Donald A. R.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : John Wiley & Sons, 2011.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Nonlinearity, complexity and randomness in economics :  |b towards algorithmic foundations for economics /  |c edited by Stefano Zambelli and Donald A.R. Georg. 
260 |a Hoboken :  |b John Wiley & Sons,  |c 2011. 
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505 0 |a Nonlinearity, Complexity and Randomnessin Economics; Contents; Notes on Contributors; 1. Introduction; 2. Towards an Algorithmic Revolution in Economic Theory; 3. An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets; 4. Complexity and Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modelling; 5. Behavioural Complexity; 6. Bounded Rationality and the Emergence of Simplicity Amidst Complexity; 7. Emergent Complexity in Agent-Based Computational Economics; 8. Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations. 
505 8 |a 9. Stock-Flow Interactions, Disequilibrium Macroeconomics and the Role of Economic Policy10. Equilibrium Versus Market Efficiency: Randomness versus Complexity in Finance Markets; 11. Flexible Accelerator Economic Systems as Coupled Oscillators; 12. Shifting Sands: Non-Linearity, Complexity and Randomness in Economics; Index. 
520 |a 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 philosophersPresents new approaches to macroeconomic modelling, agent-based modelling, financial markets, and emergent complexityReveals how economics today must be. 
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700 1 |a George, Donald A. R. 
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