Managing Market Complexity: The Approach of Artificial Economics

ISBN-13: 9783642313004 / Angielski / Miękka / 2012 / 247 str.

Andrea Teglio;Simone Alfarano;Eva Camacho-Cuena

Opis

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.

Spis treści

Preface.- Part I: Networks.- Part II: Macroeconomics.- Part III: Finance.- Part IV: Industrial Organization.- Part V: Management.- Part VI: Methodological  Issues.

O autorze

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 Castellón (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.

Eva Camacho is Associate Professor of Economics at the Universitat Jaume I in Castellón (Spain). PhD in Economics from the University Jaume I since 2002. Her main research interests include industrial economics, environmental economics, experimental economics or individual decision making.

Miguel Ginés is an Associate Professor at the University Jaume I of Castellón. He obtained his PhD in Economics by the University of Alicante (Spain) and two years of Post-doctoral Fellowship at the University of Minnesota (USA). His main interests are Cooperative Game theory, in particular Social Choice and the public provision of public goods.

Blurb

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.