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Managing Market Complexity - The Approach of Artificial Economics (Paperback, 2013 ed.) Loot Price: R1,401
Discovery Miles 14 010
Managing Market Complexity - The Approach of Artificial Economics (Paperback, 2013 ed.): Andrea Teglio, Simone Alfarano, Eva...

Managing Market Complexity - The Approach of Artificial Economics (Paperback, 2013 ed.)

Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Gines-Vilar

Series: Lecture Notes in Economics and Mathematical Systems, 662

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Loot Price R1,401 Discovery Miles 14 010 | Repayment Terms: R131 pm x 12*

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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.

General

Imprint: Springer-Verlag
Country of origin: Germany
Series: Lecture Notes in Economics and Mathematical Systems, 662
Release date: July 2012
First published: 2013
Editors: Andrea Teglio • Simone Alfarano • Eva Camacho-Cuena • Miguel Gines-Vilar
Dimensions: 235 x 155 x 14mm (L x W x T)
Format: Paperback
Pages: 247
Edition: 2013 ed.
ISBN-13: 978-3-642-31300-4
Categories: Books > Business & Economics > Economics > Macroeconomics > General
Books > Business & Economics > Finance & accounting > Finance > General
Books > Business & Economics > Business & management > Ownership & organization of enterprises > General
Books > Science & Mathematics > Mathematics > Optimization > Game theory
Books > Money & Finance > General
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LSN: 3-642-31300-0
Barcode: 9783642313004

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