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
About the Author
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.
