DocumentCode :
2070385
Title :
A multi-agent system to the common management of a renewable resource: application to water sharing
Author :
Bars, M. Le ; Attonaty, J.M.
Author_Institution :
LAMSADE Lab., Universitd Paris-Dauphine, Paris, France
fYear :
2001
fDate :
7-9 Nov 2001
Firstpage :
42
Lastpage :
49
Abstract :
Water sharing has become an important problem in France. A lot of negotiations are taking place at a local level between farmers, water suppliers, public services and environmentalists to allocate water resources between users. The problem is to share water with respect to different criteria like economic (global output) ethical (disparities between actors) environmental (water savings). Different approaches have been already taken using linear programming or game theory, but they are always based on the hypothesis that decision-makers are completely rational, take into account few players and are often monoperiodic. We suggest that Agent-Based Modelling (ABM) built with a multi-agent approach could help negotiations between different players by showing the consequences of water allocation rules and taking into consideration the players´ respective attitudes and their ability to change their behaviour. The authors present the model structure with the different types of agents modelled, how the model runs over a number of years and the first results of simulations
Keywords :
civil engineering computing; multi-agent systems; natural resources; negotiation support systems; resource allocation; water supply; France; agent-based modelling; common management; decision-makers; distributed artificial intelligence; environmentalists; farmers; game theory; global output; linear programming; model structure; multi-agent system; public services; renewable resource: application; water allocation rules; water resource allocation; water savings; water sharing; water suppliers; Bars; Crops; Environmental economics; Irrigation; Laboratories; Linear programming; Multiagent systems; Power generation economics; Resource management; Water resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Tools with Artificial Intelligence, Proceedings of the 13th International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
0-7695-1417-0
Type :
conf
DOI :
10.1109/ICTAI.2001.974447
Filename :
974447
Link To Document :
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