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

نویسندگان

  • Marina V. Sokolova
  • Antonio Fernández-Caballero
چکیده

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 realtime “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.

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تاریخ انتشار 2007