Abstract
Monitoring of negative effects of urban pollution and real-time decision making allow to clarify consequences upon human health. Large amounts of raw data information describe this situation, and to get knowledge from it, we apply intelligent agents. Further modeling and simulation gives the new knowledge about the tendencies of situation development and about its structure. Agent-based decision support system can help to foresee possible ways of situation development and contribute to effective management and planning.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Smirnov, A., Pashkin, M., Levashova, T., Shilov, N., Kashevnik, A.: Role-Based Decision Mining for Multiagent Emergency Response Management. In: Gorodetsky, V., Zhang, C., Skormin, V.A., Cao, L. (eds.) AIS-ADM 2007. LNCS (LNAI), vol. 4476, pp. 178–191. Springer, Heidelberg (2007)
Herrler, R., Heine, C.: Approaches and Tools to Optimize and Manage Clinical Processes. In: Application of Agents and Intelligent Information Technologies, pp. 39–65. IGI Publishing, USA (2007)
Kaiser, R., Romieu, I., Medina, S., Schwartz, J., Krzyzanowski, M., Knzli, N.: Air pollution attributable postneonatal infant mortality in U.S. metropolitan areas: A risk assessment study. Environmental Health: A Global Access Science Source 3(1), 4 (2004)
World Health Organization, http://www.who.int/en/
ISO/IEC 12207 home page, http://www.iso.org/iso/
OWL Web Ontology Language home page (2004), http://www.w3.org/TR/owl-features/
Prometheus Design Tool home page, http://www.cs.rmit.edu.au/agents/pdt/
Padgham, L., Winikoff, M.: Prometheus: A pragmatic methodology for engineering intelligent agents. In: Proceedings of the Workshop on Agent Oriented Methodologies (Object-Oriented Programming, Systems, Languages, and Applications), pp. 97–108 (2002)
JackTM Intelligent Agents home page, http://www.agent-software.com/shared/home/
Sokolova, M.V., Fernández-Caballero, A.: A multi-agent architecture for environmental impact assessment: Information fusion, data mining and decision making. In: 9th International Conference on Enterprise Information Systems, ICEIS 2007 (2007)
Weiss, G.: Multi-agent Systems: A Modern Approach to Distributed Artificial Intelligence. The MIT Press, Cambridge (2000)
Sokolova, M.: Thesis for Doctorate Degree. Kursk, Kursk State Technical University press (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sokolova, M.V., Fernández-Caballero, A. (2008). Agent-Based Decision Making through Intelligent Knowledge Discovery. In: Lovrek, I., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2008. Lecture Notes in Computer Science(), vol 5179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85567-5_88
Download citation
DOI: https://doi.org/10.1007/978-3-540-85567-5_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-85566-8
Online ISBN: 978-3-540-85567-5
eBook Packages: Computer ScienceComputer Science (R0)