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|Title:||Multi-Agent Design for Catchment Analysis||Contributor(s):||Dunstan, N (author); Qiang, X (author); Cacho, OJ (author) ; Hean, R (author)||Publication Date:||2005||Handle Link:||https://hdl.handle.net/1959.11/859||Abstract:||Economic and environmental outcomes in a catchment area present a complex problem involving the crop choices of independent farm operators, weather, prices, soil quality, hydrology and government imposed constraints. Multi-agent system design enables the modeling of complex systems. To be a useful decision making and policy testing tool the model should be interactive, with the ability to explore hypotheses and create realistic scenarios. Grid and cluster computing technology can provide the parallel processing power to enable fast solutions to the large optimization problems that can arise.||Publication Type:||Conference Publication||Conference Name:||ITI 3rd International Conference on Information & Communications Technology (ICICT 2005), Cairo, Egypt, 5-6 December, 2005||Conference Details:||ITI 3rd International Conference on Information & Communications Technology (ICICT 2005), Cairo, Egypt, 5-6 December, 2005||Source of Publication:||Enabling Technologies for the New Knowledge Society: Proceedings of the ITI 3rd International Conference on Information & Communications Technology (ICICT 2005), p. 101-107||Publisher:||Information Technology Institute||Place of Publication:||Giza, Egypt||Field of Research (FOR):||080603 Conceptual Modelling||Peer Reviewed:||Yes||HERDC Category Description:||E1 Refereed Scholarly Conference Publication||Other Links:||http://www.icict.gov.eg/ICICT2005/||Statistics to Oct 2018:||Visitors: 261
|Appears in Collections:||Conference Publication|
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