Hybrid MAS GIS Coastal Systems Modeling Methodology

Dominique Urbani () and Marielle Delhom ()
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Dominique Urbani: SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]
Marielle Delhom: SPE - Laboratoire « Sciences pour l’Environnement » (UMR CNRS 6134 SPE) - CNRS - Centre National de la Recherche Scientifique - Università di Corsica Pasquale Paoli [Université de Corse Pascal Paoli]

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Abstract: Submitted to the combination of a growing anthropogenic pressure, pollution and the increase of health required standards, the costal and ponds' ecosystems are endangered involving the decline of traditional sea activities. In this paper we present a methodology to build a distributed artificial intelligent based model dedicated to interactions between watershed and activities in coastal areas. Organizing the coastal systems into a hierarchy, following a multi-agents approach, we build a generic model of each system's stakeholder. We focus on modeling the influences of the watershed activities on sea farming. Using a geographic information system, we explicit how to take advantages of the spatiotemporal ground data to fit the simulations to the specificities of each targeted site.

Keywords: multi-agent system; geographic information system; environmental science; coastal ecosystem; sea farm; decision support systems (search for similar items in EconPapers)
Date: 2008-06-18
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Published in 21st International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2008 Wroclaw, Poland, June 18-20, 2008 Proceedings, Jun 2008, Wroclaw, Poland. pp.523-530, ⟨10.1007/978-3-540-69052-8_55⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00373271

DOI: 10.1007/978-3-540-69052-8_55

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