Managing Market Complexity
The Approach of Artificial Economics
Editors: Teglio, A., Alfarano, S., Camacho-Cuena, E., Ginés-Vilar, M. (Eds.)
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- Provides a comprehensive overview of issues related to artificial economics
- Presents a peer-reviewed collection of papers
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- About this book
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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.
- About the authors
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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.
- Table of contents (19 chapters)
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Comparing Traffic Discrimination Policies in an Agent-Based Next-Generation Network Market
Pages 3-14
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Transformation Networks: A study of how technological complexity impacts economic performance
Pages 15-26
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Contagion and Bank Runs in a Multi-Agent Financial System
Pages 27-38
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Innovation niche stability with a short-term policy intervention
Pages 39-50
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Dynamics of probabilistic labor markets: statistical physics perspective
Pages 53-64
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Table of contents (19 chapters)
- Download Preface 1 PDF (125.9 KB)
- Download Sample pages 1 PDF (354.2 KB)
- Download Table of contents PDF (124.5 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Managing Market Complexity
- Book Subtitle
- The Approach of Artificial Economics
- Editors
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- Andrea Teglio
- Simone Alfarano
- Eva Camacho-Cuena
- Miguel Ginés-Vilar
- Series Title
- Lecture Notes in Economics and Mathematical Systems
- Series Volume
- 662
- Copyright
- 2013
- Publisher
- Springer-Verlag Berlin Heidelberg
- Copyright Holder
- Springer-Verlag Berlin Heidelberg
- eBook ISBN
- 978-3-642-31301-1
- DOI
- 10.1007/978-3-642-31301-1
- Softcover ISBN
- 978-3-642-31300-4
- Series ISSN
- 0075-8442
- Edition Number
- 1
- Number of Pages
- XX, 247
- Number of Illustrations
- 73 b/w illustrations
- Topics
