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- W2597432797 abstract "Submitted to the combination of the sun immigration pressure and the decline of their traditional economy, the Mediterranean islands are in a paradoxical position. Indeed, while the populations on the shores are growing, the countryside is endangered involving the desertification. In this paper we shall present a methodology to build a distributed artificial intelligence based model dedicated to the countryside economy and its interactions with the growing touristic coastal areas through the flow of tourists. Organizing the economic system into a hierarchy, following a multi-agent approach, we build a generic model of each system's stakeholders from our observations. We propose a methodology to model the exchanges between the countryside's visitors and the local economy's players. Using a geographic information system, we explicit how to take advantage of the spatiotemporal ground data to fit the simulations to the specificities of each targeted site. Finally we present a first application on a Corsican case." @default.
- W2597432797 created "2017-04-07" @default.
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- W2597432797 date "2009-03-02" @default.
- W2597432797 modified "2023-09-27" @default.
- W2597432797 title "Hybrid MAS GIS Mediterranean backcountry tourism economy modeling methodology" @default.
- W2597432797 hasPublicationYear "2009" @default.
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