Abstract
In this paper, we present the framework of a decision support system for water management in the Mediterranean islands coupling a multi-agents system with a geographic information system. The platform developed makes it possible for users to better understand the current operation of the system, to apprehend the evolution of the situation, and to simulate different scenarios according to the selected water policies and the climatic changes hypothesis. We present the model and the simulations we ran to select the best rules to control the consumers during a period of water shortage.
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Urbani, D., Delhom, M. (2005). Water Management Policy Selection Using a Decision Support System Based on a Multi-agent System. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_46
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DOI: https://doi.org/10.1007/11558590_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29041-4
Online ISBN: 978-3-540-31733-3
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