A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making

Marina V. Sokolova, Antonio Fernández-Caballero

2007

Abstract

The paper introduces an approach to creating a multi-agent architecture for environmental impact assessment upon human health. As the indicators of the environmental impact we assume water pollution, indexes of traffic and industrial activity, wastes and solar radiation; and as the human health indicator we take morbidity. All the data comprise multiple heterogeneous data repositories. The general structure of the architecture is represented. Thus, the proposed system is logically and functionally divided into three layers, solving the tasks of information fusion, pattern discovery through data mining, and decision support making, respectively, which are discussed. The discovered patterns will be used as a foundation for real-time decision making, which should be of great importance for adequate and effective management by responsible municipal and state government authorities.

References

  1. Athanasiadis, I.N., Mitkas, P.A. (2004). An agent-based intelligent environmental monitoring system. In: Management of Environmental Quality, 15, 238-249.
  2. Artemenko, M., Hudec, O., Lapina, T. and Sokolova, M.V, (2004). The information-analytical program tool for regional decision making in social sphere. In: Telecommunications, 9, 42-44.
  3. Bradshaw, J.M. (1997). Software Agents. The MIT Press.
  4. Carrillo González, R., and González-Chávez, M.C.A. (2006). Metal accumulation in wild plants surrounding mining wastes. Environmental Pollution, 144, 84-92.
  5. Chang, C.L. (2006). A study of applying data mining to early intervention for developmentally-delayed children. Expert Systems with Applications. In press.
  6. Chen, H., Bell, M. (2002). Instrumented city database analysts using multi-agents. Transportation Research, Part C, 10, 419-432.
  7. DeLoach, S.A., Wood, M.F., and Sparkman, C.H. (2001). Multiagent systems engineering. International Journal of Software Engineering and Knowledge Engineering, 11, 231-258
  8. Giunchiglia, F., Mylopoulos, J., and Perini, A. (2002). The Tropos software development methodology: Processes, models and diagrams. In: Third International Workshop on Agent-Oriented Software Engineering, Juna.
  9. Gómez-Sanz, J., and Pavon, J. (2003). Agent oriented software engineering with INGENIAS. Lecture Notes in Computer Science, 2691 394-403.
  10. Gorodetsky, V., Karsaeyv, O., Samoilov, V. (2005). Multi-agent and data mining technologies for situation assessment in security-related applications. In: DuninKeplicz, B., Jankovski, A., Skowron, A., and Szczuka, M. (eds.), Monitoring, Security, and Rescue Techniques in Multi-agent Systems, 411-422.
  11. López-Jaquero, V., Montero, F., González, P., and Fernández-Caballero, A. (2005). A multi-agent system architecture for the adaptation of user interfaces. Lecture Notes in Artificial Intelligence, 3690, 583-586.
  12. Padgham, L. and Winikoff, M. (2002). Prometheus: A pragmatic methodology for engineering intelligent agents. In: Proceedings of the OOPSLA 2002 Workshop on Agent-Oriented Methodologies, Seattle.
  13. Sokolova, M.V., Rashad J. Rasras, and Skopin, D. (2006). The artificial neural network based approach for mortality structure analysis. In: American Journal of Applied Science, 3, 1698-1702.
  14. Turunen, M., and Latola, K. (2005). UV-B radiation and acclimation in timberline plants. Environmental Pollution, 137, 390-403.
  15. Wooldridge, M. (2002). An Introduction to Multiagent Systems. John Wiley & Sons.
  16. Wooldridge, M., Jennings, N.R., Kinny, D. (2000). The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and MultiAgent Systems, 3, 285-312.
Download


Paper Citation


in Harvard Style

V. Sokolova M. and Fernández-Caballero A. (2007). A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making . In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-972-8865-89-4, pages 219-224. DOI: 10.5220/0002346802190224


in Bibtex Style

@conference{iceis07,
author={Marina V. Sokolova and Antonio Fernández-Caballero},
title={A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2007},
pages={219-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002346802190224},
isbn={978-972-8865-89-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A MULTI-AGENT ARCHITECTURE FOR ENVIRONMENTAL IMPACT ASSESSMENT - Information Fusion, Data Mining and Decision Making
SN - 978-972-8865-89-4
AU - V. Sokolova M.
AU - Fernández-Caballero A.
PY - 2007
SP - 219
EP - 224
DO - 10.5220/0002346802190224