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Managing Market Complexity [electronic resource] : The Approach of Artificial Economics / edited by Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Gin�es-Vilar.

Contributor(s): Teglio, Andrea [editor.] | Alfarano, Simone [editor.] | Camacho-Cuena, Eva [editor.] | Gin�es-Vilar, Miguel [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Economics and Mathematical Systems: 662Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013Description: XX, 247 p. 73 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642313011.Subject(s): Finance | Computer graphics | Game theory | Physics | Economic theory | Industrial organization | Economics | Economic Theory/Quantitative Economics/Mathematical Methods | Computer Imaging, Vision, Pattern Recognition and Graphics | Complex Networks | Game Theory, Economics, Social and Behav. Sciences | Finance, general | Industrial OrganizationAdditional physical formats: Printed edition:: No titleDDC classification: 330.1 Online resources: Click here to access online
Contents:
Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological  Issues.
In: Springer eBooksSummary: 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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Preface -- Part I: Networks -- Part II: Macroeconomics -- Part III: Finance -- Part IV: Industrial Organization -- Part V: Management -- Part VI: Methodological  Issues.

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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