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.
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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
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DOI: https://doi.org/10.1007/978-3-642-19890-8_18
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