Abstract

The use of software agent systems and technologies to simulate water resources management scenarios and improve the engagement of stakeholders in policy making is gaining paramount importance. Such importance originates from two main concerns or change agents. Firstly, the context of water management is becoming highly complicated due to the intensity of connections with other systems, the diversity of stakeholders and the multiplicity (and sometime conflicting) objectives of decision partners. Moreover, the domain used for capitalizing on water management issues is becoming planetary (as it is the case of shared basins) rather than being local (watershed, watercourse, scheme, etc.). As a result, the concern is not limited to the optimization of the utility matrix of stakeholders but additional attention is required to incorporate many emerging issues such as the maintenance of financial sustainability, functional mainstreaming and improving engagement to promote reconciliation and change of water use behaviors. Secondly, the recent technological developments have improved the processing capacity of hardware, software functionalities and the accessibility of telecommunication platforms. Such developments have been reflected in the improvement of the capacities of decision makers to address complex problem domains. Software agents' technologies possess the qualities that make them useful for the provision of decision support in water management domains. As it is the case of irrigated agriculture, software agents' technology can be used for the design of farm surface irrigation systems, the improvement of irrigation systems management and the enhancement of the involvement of farmers in the processes of integrated water management. This paper is concerned with the use of agent based systems to facilitate the engagement of farmers in Al Ahsaa area in the management of water resources. The government of the Kingdom is adopting a demand management approach for the management of irrigation water by discouraging the cultivation of water-consuming crops such as wheat and dates. Improving the ability of farmers to analyze alternative cropping patterns significantly affects their water use behavior.

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