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Towards a Domain Specific Modeling Language for Agent-Based Modeling of Land Use/Cover Change

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Advances in Conceptual Modeling (ER 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 8697))

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Abstract

While agent-based models are widely used for the simulation of human-natural systems, it remains challenging for scientists to specify their models in a manner in which they can be understood and used by others. In this research project, we survey existing solutions that have emerged to cope with models specification issues. We then propose another approach: a domain specific modeling language for agent-based simulations of land use/cover change. This language is intended to constitute a means to promote models’ validation and reuse. We also present the general methodology for the development of the modeling language which consists in extending existing conceptual modeling languages with domain-specific language profiles. We also present the first step towards its development comprising a domain model based on a domain ontology.

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Author information

Authors and Affiliations

  1. Departamento de Sistemas e Informática, Escola Superior de Tecnologia de Setúbal, Instituto Politécnico de Setúbal, Campus do IPS, Estefanilha, 2910-761, Setúbal, Portugal

    Cédric Grueau

  2. Centro de Informática e Tecnologias da Informação - CITI (DI/FCT/UNL) Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Quinta da Torre, 2829-516, Caparica, Portugal

    Cédric Grueau

Authors
  1. Cédric Grueau
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Editor information

Editors and Affiliations

  1. Faculty of Business Administration, Memorial University of Newfoundland, A1B 3X5, St. John’s, NL, Canada

    Jeffrey Parsons

  2. Faculty of Education, Division of Information and Technology Studies, The University of Hong Kong, Hong Kong, China

    Dickson Chiu

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Grueau, C. (2014). Towards a Domain Specific Modeling Language for Agent-Based Modeling of Land Use/Cover Change. In: Parsons, J., Chiu, D. (eds) Advances in Conceptual Modeling. ER 2013. Lecture Notes in Computer Science, vol 8697. Springer, Cham. https://doi.org/10.1007/978-3-319-14139-8_28

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  • DOI: https://doi.org/10.1007/978-3-319-14139-8_28

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14138-1

  • Online ISBN: 978-3-319-14139-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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