Title :
Multi-Agent Design for Catchment Analysis
Author :
Dunstan, N. ; Qiang, X. ; Cacho, O. ; Hean, R.
Author_Institution :
Sch. of Math. & Comput. Sci., New England Univ., Armidale, NSW
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
Keywords :
decision making; environmental science computing; grid computing; hydrology; multi-agent systems; parallel processing; systems analysis; water resources; catchment analysis; cluster computing; decision making; grid computing; multi-agent design; parallel processing; policy testing tool; Crops; Decision making; Environmental economics; Government; Hydrology; Multiagent systems; Power generation economics; Power system modeling; Soil; Testing;
Conference_Titel :
Information and Communications Technology, 2005. Enabling Technologies for the New Knowledge Society: ITI 3rd International Conference on
Conference_Location :
Cairo
Print_ISBN :
0-7803-9270-1
DOI :
10.1109/ITICT.2005.1609618
