Abstract
This paper presents an architecture of an agent-based decision support system (ADSS) for ecological-medical situation assessment. The system receives statistical information in form of direct and indirect pollution indicator values. The ultimate goal of the modeled multi-agent system (MAS) is to evaluate the impact of the exposure to pollutants in population health. The proposed ADSS interacts with humans in real-time "what-if" scenarios, providing the user with evidence for optimal decision making. A detailed description of all the agents and their BDI (beliefs, desires, intentions) cards is presented. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
Sokolova, M. V., & Fernández-Caballero, A. (2007). An agent-based decision support system for ecological-medical situation analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4528 LNCS, pp. 511–520). Springer Verlag. https://doi.org/10.1007/978-3-540-73055-2_53
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