Abstract
This article presents a framework for the creation of decision support and expert systems for complex natural domains. The framework uses the numerous advantages of intelligent methods of data manipulation and use agents to make decentralized decisions. The qualitative improvement in decision making is obtained by using interdisciplinary approach. The frameworks combines, on the one hand, the numerous advantages of intelligent methods for data treatment and, on the other hand, supports software systems life cycle. The approach contributes to decentralization and local decision making within the standard workflow.
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.
References
Athanasiadis, I.N., Mitkas, P.A.: An agent-based intelligent environmental monitoring system. CoRR, cs.MA/0407024 (2004)
Gorodetski, V.I., Karsaev, O., Samoilov, V., Konushy, V., Mankov, E., Malyshev, A.: Multi-agent system development kit. In: Intelligent Information Processing (2004)
Haykin, S.: Neural Networks: A Comprehensive Foundation. Macmillan, New York (1998)
Karaca, F., Anil, I., Alagha, O., Camci, F.: Traffic related pm predictor for besiktas, turkey. In: Athanasiadis, I.N., Mitkas, P.A., Rizzoli, A.E., Gómez, J.M. (eds.) ITEE, pp. 317–330. Springer, Heidelberg (2009)
Levin, M.S.: Composite Systems Decisions (Decision Engineering). Springer, New York (2006)
Madala, H.R., Ivakhnenko, A. (eds.): Inductive Learning Algorithms for Complex Systems Modelling. CRC Press Inc., Boca Raton (1994)
Nastar, M., Wallman, P.: An interdisciplinary approach to resolving conflict in the water domain. In: Information Technologies in Environmental Engineering Proceedings of the 4th International ICSC Symposium Thessaloniki, Greece (2009)
Rechtin, E.: Systems architecting of organizations: why eagles can’t swim. CRC Press, Boca Raton (1999)
Riaño, D., Sánchez-Marré, M., Roda, I.R.: Autonomous agents architecture to supervise and control a wastewater treatment plant. In: Monostori, L., Váncza, J., Ali, M. (eds.) IEA/AIE 2001. LNCS (LNAI), vol. 2070, p. 804. Springer, Heidelberg (2001)
Rotmans, J.: Tools for integrated sustainability assessment: A two-track approach. Integrated Assessment 6(4) (2006)
Sokolova, M.V., Fernández-Caballero, A.: A multi-agent architecture for environmental impact assessment: Information fusion, data mining and decision making. In: ICEIS 2007 - Proceedings of the Ninth International Conference on Enterprise Information Systems, Funchal, Portugal, vol. AIDSS (2007)
Sokolova, M.V., Fernández-Caballero, A.: Facilitating mas complete life cycle through the protégé-prometheus approach. In: Agent and Multi-Agent Systems: Technologies and Applications, KES-AMSTA, Incheon, Korea (2008)
Sokolova, M.V., Fernández-Caballero, A.: Data mining driven decision making. In: Proceedings of the International Conference on Agents and Artificial Intelligence, ICAART 2009, Porto, Portugal (2009)
Bossomaier, T., Jarratt, D., Anver, M.M., Scott, T., Thompson, J.: Data integration in agent based modelling. Complexity International, 11 (2005)
Urbani, D., Delhom, M.: Water management policy selection using a decision support system based on a multi-agent system. In: AI*IA (2005)
Weiss, G. (ed.): Multiagent systems: a modern approach to distributed artificial intelligence. MIT Press, Cambridge (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sokolova, M.V., Fernández-Caballero, A., Gómez, F.J. (2011). Decision Making in Complex Systems with an Interdisciplinary Approach. In: Filipe, J., Fred, A., Sharp, B. (eds) Agents and Artificial Intelligence. ICAART 2010. Communications in Computer and Information Science, vol 129. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19890-8_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-19890-8_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19889-2
Online ISBN: 978-3-642-19890-8
eBook Packages: Computer ScienceComputer Science (R0)