Lecture Notes in Economics and Mathematical Systems

Managing Market Complexity

The Approach of Artificial Economics

Editors: Teglio, A., Alfarano, S., Camacho-Cuena, E., Ginés-Vilar, M. (Eds.)

  • With contributions by experts
  • Provides a comprehensive overview of issues related to artificial economics 
  • Presents a peer-reviewed collection of papers
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eBook $99.00
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  • ISBN 978-3-642-31301-1
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Softcover $139.00
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About this book

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

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)

  • Comparing Traffic Discrimination Policies in an Agent-Based Next-Generation Network Market

    Diedrich, Simon (et al.)

    Pages 3-14

  • Transformation Networks: A study of how technological complexity impacts economic performance

    Hollander, Christopher D. (et al.)

    Pages 15-26

  • Contagion and Bank Runs in a Multi-Agent Financial System

    Provenzano, Davide

    Pages 27-38

  • Innovation niche stability with a short-term policy intervention

    Lopolito, Antonio (et al.)

    Pages 39-50

  • Dynamics of probabilistic labor markets: statistical physics perspective

    Chen, He (et al.)

    Pages 53-64

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-31301-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $139.00
price for USA
  • ISBN 978-3-642-31300-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Managing Market Complexity
Book Subtitle
The Approach of Artificial Economics
Editors
  • 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 and Tables
73 b/w illustrations
Topics