An evolving multi agent system for meteorological alerts

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An evolving multi agent system for meteorological alerts

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International Conference on Autonomous Agents archive
Proceedings of the second international joint conference on Autonomous agents and multiagent systems table of contents

Melbourne, Australia

POSTER SESSION: Posters table of contents

Pages: 966 - 967

Year of Publication: 2003

ISBN:1-58113-683-8

Authors

Sandy Dance	Bureau of Meteorology, Melbourne, AUSTRALIA
Malcolm Gorman	Bureau of Meteorology, Melbourne, AUSTRALIA
Lin Padgham	RMIT University, Melbourne, AUSTRALIA
Michael Winikoff	RMIT University, Melbourne, AUSTRALIA

Sponsors

SIGART: ACM Special Interest Group on Artificial Intelligence
ACM: Association for Computing Machinery

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ACM New York, NY, USA

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Downloads (6 Weeks): 6, Downloads (12 Months): 22, Citation Count: 1

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ABSTRACT

The Australian Bureau of Meteorology has a requirement for complex and evolving systems to manage its weather forecasting, monitoring and alerts. This paper describes an agent-based system that monitors in real time the current terminal area forecasts (forecasts for areas around airports) and alerts forecasters to inconsistencies between these and observations obtained from automatic weather station data.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	W. Keith Edwards, Core Jini, Prentice Hall PTR, Upper Saddle River, NJ, 1999
	2	Erich Gamma , Richard Helm , Ralph Johnson , John Vlissides, Design patterns: elements of reusable object-oriented software, Addison-Wesley Longman Publishing Co., Inc., Boston, MA, 1995
	3	M. Gorman, J. Kelly, C. Ryan, and C. Sanders. Meteorological data and XML. In Meeting of Expert Team on Data Representation and Codes, Prague, Czech Republic, 2002. Commission for Basic Systems, World Meteorological Organization. Available at: http://www.wmo.ch/web/www/DPS/ET-DR-C-PRAGUE-02/Doc6(1).doc.
	4	A. S. Rao and M. P. Georgeff. An abstract architecture for rational agents. In C. Rich, W. Swartout, and B. Nebel, editors, Proceedings of the Third International Conference on Principles of Knowledge Representation and Reasoning, pages 439--449, San Mateo, CA, 1992. Morgan Kaufmann Publishers.