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Agent-Based Methods in Economics and Finance

Simulations in Swarm

  • Book
  • © 2002

Overview

Editors:
  1. Francesco Luna

    1. EU2 Eastern Division, International Monetary Fund, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Alessandro Perrone

    1. Università di Venzia Ca’Foscari, Venice, Italy

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Advances in Computational Economics (AICE, volume 17)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-xxxi
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  2. A Modest Proposal…

    1. Front Matter

      Pages 1-1
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    2. Prospect for an Economics Framework for Swarm

      • Charlotte Bruun
      Pages 3-35

  3. New Tools

    1. Front Matter

      Pages 37-37
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    2. Automated Trading Experiments with Maml

      • László Gulyás, Tibor Vincze
      Pages 39-61

    3. VSB — Visual Swarm Builder — A Visual tool for Swarm Agent Based Environment

      • Alessandro Perrone, Marco Tenuti
      Pages 63-85

    4. SWIEE — a Swarm Web Interface for Experimental Economics

      • Riccardo Boero
      Pages 87-107

  4. Financial Applications

    1. Front Matter

      Pages 109-109
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    2. Contagion of Financial Crises un- der Local and Global Networks

      • Alessandra Cassar, Nigel Duffy
      Pages 111-131

    3. Simulating Fractal Financial Markets

      • Marco Corazza, Alessandro Perrone
      Pages 133-155

    4. Growing Theories from the “Bottom up”. A Simple Entry-Exit Model

      • Domenico Delli Gatti, Mauro Gallegati, Roberto Leombruni
      Pages 157-186

    5. Cognitive Agents Behaving in a Simple Stock Market Structure

      • Pietro Terna
      Pages 187-227

  5. Other Contributions

    1. Front Matter

      Pages 229-229
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    2. Production Partnerships Formation with Heterogeneous Agents: a Simulation in SWARM

      • Davide Fiaschi, Nicolas Garrido, Pier Mario Pacini
      Pages 231-262

    3. Casinoworld:An Agent-based Model with Heterogeneous Risk Preferences and Adaptive Behavior

      • Michael Harrington, Darold Higa
      Pages 263-281

    4. Search in Artificial Labour Makets: A Simulation Study

      • Massimo Daniele Sapienza, Magda Fontana
      Pages 283-304

  6. Back Matter

    Pages 305-306
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Keywords

About this book

This second book on financial and economic simulations in Swarm marks the continued progress by a group of researchers to incorporate agent-based computer models as an important tool within their disci­ pline. It is encouraging to see such a clear example of Swarm helping to foster a community of users who rely on the Swarm framework for their own analyses. Swarm aims at legitimizing agent-based computer models as a tool for the study of complex systems. A further goal is that a common base framework will lead to the growth of user communities in specific areas of application. By providing an organizing framework to guide the development of more problem-specific structures, and by dealing with a whole range of issues that affect their fundamental correctness and their ability to be developed and reused, Swarm has sought to make the use of agent-based models a legitimate tool of scientific investigation that also meets the practical needs of investigators within a community.

Editors and Affiliations

  • EU2 Eastern Division, International Monetary Fund, USA

    Francesco Luna

  • Università di Venzia Ca’Foscari, Venice, Italy

    Alessandro Perrone

About the editors

Francesco Luna is a specialist in Computable Economics

Bibliographic Information

  • Book Title: Agent-Based Methods in Economics and Finance

  • Book Subtitle: Simulations in Swarm

  • Editors: Francesco Luna, Alessandro Perrone

  • Series Title: Advances in Computational Economics

  • DOI: https://doi.org/10.1007/978-1-4615-0785-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2002

  • Hardcover ISBN: 978-0-7923-7419-0Published: 31 October 2001

  • Softcover ISBN: 978-1-4613-5238-9Published: 23 October 2012

  • eBook ISBN: 978-1-4615-0785-7Published: 06 December 2012

  • Series ISSN: 0929-130X

  • Edition Number: 1

  • Number of Pages: XXXI, 306

  • Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Finance, general

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