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Evaluation of free Java-libraries for social-scientific agent based simulation

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  • Robert Tobias

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  • Carole Hofmann
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    Abstract

    This paper compares four freely available programming libraries for support of social scientific agent based computer simulation: RePast, Swarm, Quicksilver, and VSEit. Our aim is evaluation to determine the simulation framework that is the best suited for theory and data based modeling of social interventions, such as information campaigns. Our first step consisted in an Internet search for programming libraries and the selection of suitable candidates for detailed evaluation on the basis of 'knock out' criteria. Next, we developed a rating system and assessed the selected simulation environments on the basis of the rating criteria. The evaluation was based on official program documentation, statements by developers and users, and the experiences and impressions of the evaluators. The evaluation results showed the RePast environment to be the clear winner. In a further step, the evaluation results were weighted according to effort/time/energy saved by social scientists by using the particular ready-made programming library as compared to doing their own programming. Once again, the weighted results show RePast to win out over the other Java based programming libraries examined.

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    File URL: http://jasss.soc.surrey.ac.uk/7/1/6.html
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    Bibliographic Info

    Article provided by Journal of Artificial Societies and Social Simulation in its journal Journal of Artificial Societies and Social Simulation.

    Volume (Year): 7 (2004)
    Issue (Month): 1 ()
    Pages: 6

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    Handle: RePEc:jas:jasssj:2003-45-2

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    Related research

    Keywords: Evaluation; Simulation Framework; Agent Based Modeling; Java; Theory Based Modeling; Data Based Modeling; Social Intervention Planning;

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    Cited by:
    1. Alan G. Isaac, 2009. "The ABM Template Models -- A Reformulation with Reference Implementations," Working Papers 2009-19, American University, Department of Economics.
    2. Stefano Balbi & Carlo Giupponi, 2009. "Reviewing agent-based modelling of socio-ecosystems: a methodology for the analysis of climate change adaptation and sustainability," Working Papers 2009_15, Department of Economics, University of Venice "Ca' Foscari".
    3. Richard Wallick, 2012. "Agent-based modeling, public choice, and the legacy of Gordon Tullock," Public Choice, Springer, vol. 152(1), pages 223-244, July.
    4. Junseok Hwang & Jihyoun Park & Jorn Altmann, 2010. "Two Risk-aware Resource Brokering Strategies in Grid Computing:Broker-driven vs. User-driven Methods," TEMEP Discussion Papers 201063, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Mar 2010.
    5. Guido Fioretti, 2005. "Agent-Based Models of Industrial Clusters and Districts," Urban/Regional 0504009, EconWPA.

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