Managing Market Complexity The Approach of Artificial Economics [Paperback]

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.This book presents a collection of papers addressing the application of artificial economics (AE) to a variety of issues related to macroeconomics, industrial organization, networks, management, finance, as well as purely methodological issues.Preface.- Part I: Networks.- Part II: Macroeconomics.- Part III: Finance.- Part IV: Industrial Organization.- Part V: Management.- Part VI: Methodological? Issues.

Andrea Teglio is Visiting Professor at the Economics Department of University Jaume I of Castellon. He holds a PhD in Electronic and Computer Science Engineering (University of Genova) and a PhD in Economics (Universitat Jaume I of Castellon). His main research interests are agent-based modeling in economics and the study of nonlinear dynamical systems.

Simone Alfarano is Associate Professor of Economics at the Universitat Jaume I in Castell?n (Spain). He obtained his MSc in Theoretical Physics at the University of Cagliari (1999) and his PhD in Quantitative economics in 2006 at the University of Kiel. His main research interest include agent-based applied to the theory of financial markets, theory of networks and experimental economics.

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