Artificial Economics

The Generative Method in Economics

  • Cesáreo Hernández
  • Marta Posada
  • Adolfo López-Paredes

Part of the Lecture Notes in Economics and Mathematical Systems book series (LNE, volume 631)

Table of contents

  1. Front Matter
    Pages 1-20
  2. Macroeconomics

    1. Front Matter
      Pages 1-1
    2. Giulia Canzian, Edoardo Gaffeo, Roberto Tamborini
      Pages 15-28
    3. Philippe Caillou, Michele Sebag
      Pages 29-40
  3. Industrial Organization

    1. Front Matter
      Pages 42-42
    2. Eric Guerci, Mohammad Ali Rastegar, Silvano Cincotti
      Pages 53-66
    3. Jose I. Santos, Ricardo del Olmo, Javier Pajares
      Pages 67-77
  4. Market Dynamics and Auctions

    1. Front Matter
      Pages 80-80
    2. Roberto Cervone, Stefano Galavotti, Marco LiCalzi
      Pages 81-92
    3. Asuncion Mochon, Yago Saez, David Quintana, Pedro Isasi
      Pages 93-101
    4. Maciej Latek, Bogumil Kaminski
      Pages 103-114
  5. Finance

    1. Front Matter
      Pages 116-116
    2. Lucia Milone, Paolo Pellizzari
      Pages 117-128
    3. Andrea Teglio, Marco Raberto, Silvano Cincotti
      Pages 145-156
  6. Financial Markets

    1. Front Matter
      Pages 158-158
    2. Yuji Karino, Toshiji Kawagoe
      Pages 159-170
    3. Olivier Brandouy, Philippe Mathieu, Iryna Veryzhenko
      Pages 171-184
  7. Information and Learning

    1. Front Matter
      Pages 198-198
    2. Elena Catanese, Andrea Consiglio, Valerio Lacagnina, Annalisa Russino
      Pages 211-222
    3. Narine Udumyan, Juliette Rouchier, Dominique Ami
      Pages 223-234
  8. Methodological Issues

    1. Front Matter
      Pages 236-236
    2. David Poza, Félix Villafáñez, Javier Pajares
      Pages 245-256
    3. Gert Jan Hofstede, Catholijn M. Jonker, Tim Verwaart
      Pages 257-268

About this book


Simulation is used in economics to solve large econometric models, for large-scale micro simulations, and to obtain numerical solutions for policy design in top-down established models. But these applications fail to take advantage of the methods offered by artificial economics (AE) through artificial intelligence and distributed computing. AE is a bottom-up and generative approach of agent-based modelling developed to get a deeper insight into the complexity of economics. AE can be viewed as a very elegant and general class of modelling techniques that generalize numerical economics, mathematical programming and micro simulation approaches. The papers presented in this book address methodological questions and applications of AE to macroeconomics, industrial organization, information and learning, market dynamics, finance and financial markets.


Agent-Based Models Artificial Economics Behavioural Economics Complexity Generative Methods Keynes Simulation agents calculus linear optimization modeling optimization

Editors and affiliations

  • Cesáreo Hernández
    • 1
  • Marta Posada
    • 2
  • Adolfo López-Paredes
    • 3
  1. 1.E.T.S. de Ingenieros IndustrialesUniversidad de ValladolidValladolidSpain
  2. 2.E.T.S. de Ingenieros IndustrialesUniversidad de ValladolidValladolidSpain
  3. 3.E.T.S. de Ingenieros IndustrialesUniversidad de ValladolidValladolidSpain

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Business and Economics
  • Print ISBN 978-3-642-02955-4
  • Online ISBN 978-3-642-02956-1
  • Series Print ISSN 0075-8442
  • Buy this book on publisher's site
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