Advances in Artificial Economics

1. Front Matter

   Pages i-x

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2. Does Collaboration Pay? An Investigation for the Domain of Distributed Investment Decisions

   • Stephan Leitner, Alexander Brauneis, Alexandra Rausch

   Pages 1-13

3. Why Do Firms Exist?

   • Vipin P. Veetil

   Pages 15-32

4. The “Win-Continue, Lose-Reverse” Rule in Cournot Oligopolies: Robustness of Collusive Outcomes

   • Segismundo S. Izquierdo, Luis R. Izquierdo

   Pages 33-44

5. Organizational Change for Its Own Sake?

   • Friederike Wall

   Pages 45-56

6. Best Practices in Programming Agent-Based Models in Economics and Finance

   • A. Vermeir, H. Bersini

   Pages 57-68

7. Building Artificial Economies: From Aggregate Data to Experimental Microstructure. A Methodological Survey

   • Gianfranco Giulioni, Paola D’Orazio, Edgardo Bucciarelli, Marcello Silvestri

   Pages 69-78

8. Spontaneous Segregation of Agents Across Double Auction Markets

   • Aleksandra Alorić, Peter Sollich, Peter McBurney

   Pages 79-90

9. The J-Curve and Transaction Taxes: Insights from an Artificial Stock Market

   • Lina Kalimullina, Rainer Schöbel

   Pages 91-103

10. What Is the Impact of Heterogeneous Knowledge About Fundamentals on Market Liquidity and Efficiency: An ABM Approach

    • Vivien Lespagnol, Juliette Rouchier

    Pages 105-117

11. An Agent Based Propagation Model of Bank Failures

    • André Dias, Pedro Campos, Paulo Garrido

    Pages 119-130

12. Direct vs. Side Effects in Financial Contagion: What Weights More?

    • Stefano Zedda

    Pages 131-137

13. Saudis and Expats: An Agent-Based Model of the Saudi Arabian Labor Market

    • Davoud Taghawi-Nejad

    Pages 139-149

14. Forbidding Fixed Duration Contracts: Unfolding the Opposing Consequences with a Multi-Agent Model of the French Labor Market

    • Olivier Goudet, Jean-Daniel Kant, Gérard Ballot

    Pages 151-167

15. Shadow Economy and Wealth Distribution

    • Nuno Trindade Magessi, Luis Antunes

    Pages 169-179

16. Distribution Effects of Extortion Racket Systems

    • Klaus G. Troitzsch

    Pages 181-193

17. Impacts on Stability of Interdependencies Between Markets in a Cobweb Model

    • Emma Jonson, Liv Lundberg, Kristian Lindgren

    Pages 195-205

18. Detecting Key Variables in System Dynamics Modelling by Using Social Network Metrics

    • J. Barranquero, M. Chica, O. Cordón, S. Damas

    Pages 207-217

19. Trade-In Programs in the Context of Technological Innovation with Herding

    • Paolo Pellizzari, Elena Sartori, Marco Tolotti

    Pages 219-230

20. Evaluating Scenarios for Upgrading Sustainability of the Meat Supply Chain

    • Eva van den Broek, Tim Verwaart

    Pages 231-243

​The book presents a peer-reviewed collection of papers presented during the 10th issue of the Artificial Economics conference, addressing a variety of issues related to macroeconomics, industrial organization, networks, management and finance, as well as purely methodological issues. The field of artificial economics covers a broad range of methodologies relying on computer simulations in order to model and study the complexity of economic and social phenomena. The grounding principle of artificial economics is the analysis of aggregate properties of simulated systems populated by interacting adaptive agents that are equipped with heterogeneous individual behavioral rules. These macroscopic properties are neither foreseen nor intended by the artificial agents but generated collectively by them. They are emerging characteristics of such artificially simulated systems.

• Artificial Economics
• Complex Systems
• Multi-agent Systems
• Simulation

• University Toulouse 1 Capitole, Toulouse, France

  Frédéric Amblard, Adrien Blanchet, Benoit Gaudou

• Laboratory for Socio-Historical Dynamics (LSDS), Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain

  Francisco J. Miguel

Frédéric Amblard was awarded a PhD degree (agent-based social simulation) in 2003 from the University Blaise Pascal, Clermont-Ferrand. He then spend one year as a post-doc at the ENS-Ulm. In 2004, he became associate professor in Computer Science at the University Toulouse 1 Capitole and joined the IRIT-SMAC team. He has been implied in several European projects (FP6 IMAGES, FP7 COSIN, FP7 QLectives) and ANR projects (MAGeo, COSMAGEMS) and currently participates in the coordination of the MAELIA project, dedicated to the multi-agent simulation for the management of water resources. He coordinated several industrial projects with major actors (EDF R&D, France Télécom R&D). In 2013 he received an award for scientific excellence (PES).

Francesc Josep Miguel holds a PhD in Sociology from the Universitat Autònoma de Barcelona (UAB) and a University Specialist Degree in Sociology of Consumption from the Universidad Complutense de Madrid. Miguel Quesada is an Associate Professor at UAB responsible for courses in Methodology for the Social Sciences, Sociology of Consumption and Applied Statistics for Marketing Analysis. He has conducted research in the fields of sociology of consumption, social indicators in relation to the situation of women in contemporary society, and the analysis of school-to-work transitions. At present he mainly works in the domain of “computational sociology” - an applied branch of artificial intelligence that merges social science and computer simulation techniques to model complex policy issues and societal dynamics - and, as GSADI member and as Director of the “Laboratory for Socio-Historical Dynamics Simulation” (LSDS) he is involved in several projects about the use of agent-based social simulation for the modelling of social networks dynamics and evolution of social behavior.

Adrien Blanchet became Associate Professor at the GREMAQ in 2008. He earned a PhD degree in 2005 fromthe University Paris Dauphine. With a background in mathematical physics, Adrien focused at the end of his PhD degree on models coming from Biology. From his recruitment at the GREMAQ in 2008, he worked on the applications of partial differential equations in Economics. In 2009 he received an award for scientific excellence (PES) as well as an Outstanding Viae Award of the Toulouse School of Economics (TSE) in 2010.

Benoit Gaudou was awarded a PhD degree in Artificial Intelligence in 2008 from the Toulouse University. In 2010, he became Associate Professor at the University Toulouse 1 Capitole and joined the IRIT-SMAC research team. His research topics are the agent-based modeling and simulation of social environmental systems including complex agents.

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