Zambelli S., George D.A.R. (Eds.) Nonlinearity, Complexity and Randomness in Economics: Towards Algorithmic Foundations for Economics

Wiley – 2012, 248 p.
ISBN: 1444350315Nonlinearity, 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 modeling, agent-based modeling, financial markets, and emergent complexity.
Reveals how economics today must be based on algorithmic, computable mathematical foundations.Introduction – Stefano Zambelli
Towards an Algorithmic Revolution in Economic Theory – K. Vela Velupillai
An Algorithmic Information-Theoretic Approach to the Behaviour of Financial Markets – Hector Zenil and Jean-Paul Delahaye
Complexity and Randomness in Mathematics: Philosophical Reflections on the Relevance for Economic Modeling – Sundar Sarukkai
Behavioural Complexity – Sami Al-Suwailem
Bounded Rationality and the Emergence of Simplicity Amidst Complexity – Cassey Lee
Emergent Complexity in Agent-Based Computational Economics – Shu-Heng Chen and Shu G.Wang
Non-Linear Dynamics, Complexity and Randomness: Algorithmic Foundations – K. Vela Velupillai
Stock-Flow Interactions, Disequilibrium Macroeconomics and the Role of Economic Policy – Toichiro Asada, Carl Chiarella, Peter Flaschel, Tarik Mouakil, Christian Proa˜no andWilli Semmler
Equilibrium Versus Market Efficiency: Randomness versus Complexity in Finance Markets – Joseph L. McCauley
Flexible Accelerator Economic Systems as Coupled Oscillators – Stefano Zambelli
Shifting Sands: Non-Linearity, Complexity and Randomness in Economics – Donald A.R. George