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Managing Market Complexity

Managing Market Complexity The Approach of Artificial Economics / [electronic resource] : edited by Andrea Teglio, Simone Alfarano, Eva Camacho-Cuena, Miguel Ginés-Vilar. - XX, 247 p. 73 illus. online resource. - Lecture Notes in Economics and Mathematical Systems, 662 0075-8442 ; . - Lecture Notes in Economics and Mathematical Systems, 662 .

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.

9783642313011

10.1007/978-3-642-31301-1 doi


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 Organization.

HB1-846.8

330.1