Nonlinearity, Complexity and Randomness in Economics: Towards Algorithmic Foundations for Economics: 3 (Surveys of Recent Research in Economics) - Tapa blanda

 
9781444350319: Nonlinearity, Complexity and Randomness in Economics: Towards Algorithmic Foundations for Economics: 3 (Surveys of Recent Research in Economics)
Tapa blanda
ISBN 10: 1444350315 ISBN 13: 9781444350319
Editorial: Wiley-Blackwell, 2012

Sinopsis

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

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.

De la contraportada

The "great crash of 2008" and its associated banking crisis have revealed the limitations of mainstream economics. While exposing the increasing irrelevance of the field, they have forced a number of economists to re-examine their discipline. The financial meltdown also showed how traditional linear or linearised models with well-behaved additive stochastic disturbances, based on orthodox "microeconomic foundations", are not adequate to deal with the complexities of today's world. Nonlinearity, Complexity and Randomness in Economics presents a variety of cutting edge papers by leading economists, scientists, and philosophers. Topics explored include nonlinear macroeconomic modelling, agent-based modelling, information-theoretic modelling of financial markets, bounded rationality, and emergent complexity. Utilizing an interdisciplinary approach, Nonlinearity, Complexity and Randomness in Economics reveals how true intellectual rigour in economics requires a basis in algorithmic, computable mathematical foundations.

De la solapa interior

The great crash of 2008 and its associated banking crisis have revealed the limitations of mainstream economics. While exposing the increasing irrelevance of the field, they have forced a number of economists to re-examine their discipline. The financial meltdown also showed how traditional linear or linearised models with well-behaved additive stochastic disturbances, based on orthodox microeconomic foundations, are not adequate to deal with the complexities of today's world. Nonlinearity, Complexity and Randomness in Economics presents a variety of cutting edge papers by leading economists, scientists, and philosophers. Topics explored include nonlinear macroeconomic modelling, agent-based modelling, information-theoretic modelling of financial markets, bounded rationality, and emergent complexity. Utilizing an interdisciplinary approach, Nonlinearity, Complexity and Randomness in Economics reveals how true intellectual rigour in economics requires a basis in algorithmic, computable mathematical foundations.

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Wiley-Blackwell
Año de publicación
2012
Idioma
Inglés
ISBN 10 
1444350315
ISBN 13 
9781444350319
Encuadernación
Tapa blanda
Número de páginas
256
Editor
Zambelli Stefano, George Donald A. R.
Contacto del fabricante
no disponible
Persona responsable
no disponible