An Agent-Based Decision Support System for Ecological-Medical Situation Analysis

Authors:
Marina V. Sokolova;Antonio Fernández-Caballero
Affiliations:
Universidad de Castilla-La Mancha, Escuela Politécnica Superior de Albacete & Instituto de Investigacióóón en Informática de Albacete, 02071-Albacete, Spain and Kursk Stat ...;Universidad de Castilla-La Mancha, Escuela Politécnica Superior de Albacete & Instituto de Investigacióóón en Informática de Albacete, 02071-Albacete, Spain
Venue:
IWINAC '07 Proceedings of the 2nd international work-conference on Nature Inspired Problem-Solving Methods in Knowledge Engineering: Interplay Between Natural and Artificial Computation, Part II
Year:
2007

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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.