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The Multi-Agent Modelling Language and the Model Design Interface



While computer models provide many advantages over traditional experimental methods, they also raise several problems. The process of software development is a complicated task with high potential for errors, especially when it is carried out by scientists holding their expertise in other fields than computer science. On the other hand, the process of creating computer simulations of social systems which reflect the reality of such systems requires insights considerably beyond expertise in computer science. The Multi-Agent Modelling Language (MAML) is one of the efforts to ease these difficulties. In its current version, MAML is a macro-language for Swarm (a freely distributed toolset under development at SFI), but it is also part of a larger Swarm-independent framework. Also, the design of MAML, while influenced by concepts from Swarm, is general enough to allow for later extension of the supported simulation kernels. This paper gives an overview of the mentioned larger framework, with special emphasis on MAML and its graphical CASE tool, the Model Design Interface.

Suggested Citation

  • László Gulyás & Tamás Kozsik & John B. Corliss, 1999. "The Multi-Agent Modelling Language and the Model Design Interface," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 2(3), pages 1-8.
  • Handle: RePEc:jas:jasssj:1999-18-1

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    References listed on IDEAS

    1. Matthew Leach & Ausilio Bauen & Nigel Lucas, 1997. "A Systems Approach to Materials Flow in Sustainable Cities: A Case Study of Paper," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 40(6), pages 705-724.
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    3. James D. Reschovsky & Sarah E. Stone, 1994. "Market incentives to encourage household waste recycling: Paying for what you throw away," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 13(1), pages 120-139.
    4. Ellen, Pam Scholder, 1994. "Do we know what we need to know? Objective and subjective knowledge effects on pro-ecological behaviors," Journal of Business Research, Elsevier, vol. 30(1), pages 43-52, May.
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    Cited by:

    1. Cynthia Nikolai & Gregory Madey, 2009. "Tools of the Trade: A Survey of Various Agent Based Modeling Platforms," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 12(2), pages 1-2.
    2. Alan G. Isaac, 2008. "Simulating Evolutionary Games: A Python-Based Introduction," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 11(3), pages 1-8.
    3. Giovanni Rabino & Alberto Girotti, 2004. "Ontology of multi-agents processes of spatial decision," ERSA conference papers ersa04p142, European Regional Science Association.


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