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Multi-Agent Design for Catchment Analysis

  • N Dunstan
  • , X Qiang
  • , OJ Cacho
  • , R Hean

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationEnabling Technologies for the New Knowledge Society: Proceedings of the ITI 3rd International Conference on Information & Communications Technology (ICICT 2005)
EditorsA M Salem, M T El-Hadidi
Place of PublicationGiza, Egypt
PublisherInformation Technology Institute
Pages101-107
ISBN (Print)0780392701
Publication statusPublished - 2005
EventICICT 2005: ITI 3rd International Conference on Information & Communications Technology - Cairo, Egypt
Duration: 5 Dec 20056 Dec 2005

Conference

ConferenceICICT 2005: ITI 3rd International Conference on Information & Communications Technology
CityCairo, Egypt
Period5/12/056/12/05

Keywords

  • Conceptual Modelling

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