Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/859
Title: Multi-Agent Design for Catchment Analysis
Contributor(s): Dunstan, N  (author); Qiang, X (author); Cacho, OJ  (author)orcid ; 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 Details: ICICT 2005: ITI 3rd International Conference on Information & Communications Technology, Cairo, Egypt, 5th - 6th 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
Fields of Research (FoR) 2008: 080603 Conceptual Modelling
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Publisher/associated links: http://www.icict.gov.eg/ICICT2005/
Appears in Collections:Conference Publication

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