Nonlinearity, Complexity and Randomness in Economics

Towards Algorithmic Foundations for Economics de

,

Éditeur :

Wiley-Blackwell


Collection :

Surveys of Recent Research in Economics

Paru le : 2012-01-17

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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
Pages
262 pages
Collection
Surveys of Recent Research in Economics
Parution
2012-01-17
Marque
Wiley-Blackwell
EAN papier
9781444350319
EAN PDF
9781118300428

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
256
Taille du fichier
6042 Ko
Prix
24,79 €
EAN EPUB
9781118300435

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
262
Taille du fichier
2161 Ko
Prix
24,79 €