ENGLISH

Managing Market Complexity: The Approach of Artificial Economics

By Simon Diedrich , Fernando Beltrán (auth.) , Andrea Teglio , Simone Alfarano , Eva Camacho-Cuena , Miguel Ginés-Vilar (eds.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2013
ISBN
978-3-642-31300-4, 978-3-642-31301-1
DOI
10.1007/978-3-642-31301-1
Language
english
Format
PDF
Filesize
4 MB (4289101 bytes)
Series
Lecture Notes in Economics and Mathematical Systems 662
Edition
1
Pages
247\254
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Economic Theory;Computer ImagingEconomicsPattern Recognition and Graphics;Complex Networks;Social and Behav. Sciences;Finance/Investment/BankVision

Description

The field of artificial economics (AE) embraces a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The overarching principle of AE is the analysis of aggregate properties of artificial economies populated by adaptive agents that are equipped with behavioural rules and specific individual targets. These aggregate properties are neither foreseen nor intended by the artificial agents; conversely they are emerging characteristics of such artificially simulated systems. The book presents a peer-reviewed collection of papers addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues.

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