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

fYear

2005

fDate

5-6 Dec. 2005

Firstpage

101

Lastpage

107

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ITICT.2005.1609618

Filename

1609618