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 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 INDICE: 1. Introduction: Stefano Zambelli. 2. Towards an Algorithmic Revolution in Economic Theory: K. Vela Velupillai.3. An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets: Hector Zenil & Jean-Paul Delahaye.4. Complexity & Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modelling: Sundar Sarukkai.5. Behavioural Complexity: Sami Al-Suwailem.6. Bounded Rationality and the Emergence of Simplicity Amidst Complexity: Cassey Lee.7. Emergent Complexity in Agent-Based Computational Economics: Shu-Heng Chen & Shu G. Wang.8. Nonlinear Dynamics, Complexityand Randomness: Algorithmic Foundations: K. Vela Velupillai.9. Stock Flow Interactions and Disequilibrium Macroeconomics: The Role of Economic Policy: Toichiro Asada, Carl Chiarella, Peter Flaschel, Tarik Mouakil, Christian Proaño & Willi Semmler.10. Equilibrium vs. Market Efficiency: Randomness vs. complexityin finance markets: Joe McCauley.11. Flexible Accelerator Economic Systems asCoupled Oscillators: Stefano Zambelli.12. Shifting Sands: Nonlinearity, Complexity and Randomness in Economics: Donald A. R. George.Index.

• ISBN: 978-1-4443-5031-9
• Editorial: Wiley-Blackwell
• Encuadernacion: Rústica
• Páginas: 262
• Fecha Publicación: 23/12/2011
• Nº Volúmenes: 1
• Idioma: Inglés