Book description
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
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
.
