2009 | OriginalPaper | Buchkapitel
Intelligent Agents Networks Employing Hybrid Reasoning: Application in Air Quality Monitoring and Improvement
verfasst von : Lazaros S. Iliadis, A. Papaleonidas
Erschienen in: Engineering Applications of Neural Networks
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
This paper presents the design and the development of an agent-based intelligent hybrid system. The system consists of a network of interacting intelligent agents aiming not only towards real-time air pollution monitoring but towards proposing proper corrective actions as well. In this manner, the concentration of air pollutants is managed in a real-time scale and as the system is informed continuously on the situation an iterative process is initiated. Four distinct types of intelligent agents are utilized: Sensor, Evaluation, Decision and Actuator. There are also several types of Decision agents depending on the air pollution factor examined. The whole project has a Hybrid nature, since it utilizes fuzzy logic – fuzzy algebra concepts and also crisp values and a rule based inference mechanism. The system has been tested by the application of actual air pollution data related to four years of measurements in the area of Athens.