AirQMAS: A Collaborative Multi-agent System for Air Quality Analysis
نویسندگان
چکیده
The paper presents a multi-agent system, AirQMAS, developed for air quality analysis at different stations from the Romanian national air quality monitoring network. The multi-agent system includes collaborative agents that work together in order to improve the overall efficiency of the system. Two types of agents are used: environmental agents and meteorological agents. The learning capability is provided to the environmental agents, that use rules generated by the C5.0 data mining algorithm for the analysis of air quality index. A first version of the system was implemented in Zeus, and was tested as a simulation for a local network of 6 stations from the Ploiesti town, analyzing the concentrations of some air pollutants.
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