Economic Simulations in Swarm: Agent-Based Modelling and Object Oriented Programming

1. Front Matter

   Pages i-xxxvi

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2. The Grammar

   1. Front Matter

      Pages 1-1

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   2. Simulating Economic Agents in Swarm

      • Benedikt Stefansson

      Pages 3-61

   3. Installation: An Appendix

      • Alessandro Perrone

      Pages 63-70

3. ..and Some Prose

   1. Front Matter

      Pages 71-71

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   2. Economic Experiments with Swarm: A Neural Network Approach to the Self-Development of Consistency in Agents’ Behavior

      • Pietro Terna

      Pages 73-103

   3. Endogenous Growth with Cycles in a Swarm Economy: Fighting Time, Space, and Complexity

      • Charlotte Bruun, Francesco Luna

      Pages 105-131

   4. Imitative Behaviour in Tax Evasion

      • Luigi Mittone, Paolo Patelli

      Pages 133-158

   5. An Experimental Approach to the Study of Banking Intermediation: The Banknet Simulator

      • Massimo Daniele Sapienza

      Pages 159-179

   6. Numerical Modeling, Noise Traders, and the Swarm Simulation System

      • Timothy E. Jares

      Pages 181-202

   7. Nonlinear Stochastic Dynamics for Supply Counterfeiting in Monopolistic Markets

      • Marco Corazza, Alessandro Perrone

      Pages 203-223

   8. Using Swarm for Simulating the Order Fulfillment Process in Divergent Assembly Supply Chains

      • Fu-ren Lin, Troy J. Strader, Michael J. Shaw

      Pages 225-249

   9. Online Supply Chain Modeling and Simulation

      • Christoph Schlueter-Langdon, Peter Bruhn, Michael J. Shaw

      Pages 251-272

   10. The Coevolution of Human Capital and Firm Structure

       • Francesco Luna, Alessandro Perrone

       Pages 273-287

4. Back Matter

   Pages 289-291

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Computer simulations of economic systems are slowly gaining ground within the economic profession. However, such a process is hindered by a lack of communication among researchers who do not share a common language. For its object-oriented structure and its versatility, Swarm has the necessary characteristics to become a credible universal language of agent-based simulations.
Economic Simulations in Swarm collects a series of original articles in such domains as macro and micro economics, industrial organization, monetary theory, and finance, all linked by a common denominator: the use of the Swarm simulation platform.
Swarm, a standard set of program libraries, allows users to construct simulations where a collection of heterogeneous independent agents or elements interact through discrete events. This volume offers the first extensive tutorial to the use of these software libraries developed at the Santa Fe Institute as part of the ongoing research into complexity.
The editors conceived the idea of this book while visiting the Santa Fe Institute as members of the `Working Group on Adaptive and Computable Economics'. Francesco Luna is a specialist in Computable Economics, and Benedikt Stefansson is an active contributor to the Swarm community.

• agents
• economic systems
• economics
• human capital
• industrial organization
• modeling
• monetary theory
• simulation
• simulations

`Economic Simulations in Swarm is not specifically targeted at urban studies audiences, but is well crafted enough to be a very useful resource for those involved in building urban models, and for anybody interested in urban simulation and multiagent systems in general.'
Environment and Planning B: Planning and Design 2001, Vol.28

• Università di Venezia Ca’Foscari, Venice, Italy

  Francesco Luna

• Oberlin College, USA

  Francesco Luna

• University of California Los Angeles, USA

  Benedikt Stefansson

Francesco Luna is a specialist in Computable Economics Benedikt Stefansson is an active contributor to the Swarm community

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