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The Swarm Simulation System and Individual-Based Modeling

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  • David Hiebeler

Abstract

Swarm is a simulation environment which facilitates development and experimentation with simulations involving a large number of agents behaving and interacting within a dynamic environment. Many of the computer simulations performed by researchers in various disciplines rest upon a very similar computational foundation. These researchers often invest significant effort into developing the basic platform to support their simulations. A prototype of the Swarm simulation system was developed as an attempt to provide a general-purpose tool for building these simulations. The Swarm system provides a framework that will allow people to only write code describing the details of their specific problem, and then gain easy access to user-interface, simulation management, and analysis tools. This paper will provide an overview of the Swarm system and discuss some of the general advantages and disadvantages of using individual-based models.

Suggested Citation

  • David Hiebeler, 1994. "The Swarm Simulation System and Individual-Based Modeling," Working Papers 94-12-065, Santa Fe Institute.
  • Handle: RePEc:wop:safiwp:94-12-065
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    Cited by:

    1. Dominguez, Roberto & Cannella, Salvatore & Barbosa-PĆ³voa, Ana P. & Framinan, Jose M., 2018. "Information sharing in supply chains with heterogeneous retailers," Omega, Elsevier, vol. 79(C), pages 116-132.
    2. Peter T. Hraber & Bruce T. Milne, 1996. "Community Assembly in a Model Ecosystem," Working Papers 96-12-094, Santa Fe Institute.

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