Agents are autonomous, reactive and pro-active problem solvers. They co-operate to achieve the overall goal of a system. Numerous systems are based on mutual support and/or competition of agents, which are developed to satisfy the queries of a human user. Systems of multi-agent acquirement (agencies) extracting clear information for the user have been developed during the monitoring of air quality. An evolution of the system is necessary to expand the basis of knowledge of the agency and estimate that can perform, as well as possible, the service offered by MAS. In this paper we will illustrate a proposal, which has been planned to improve a MAS, previously developed and employed for the monitoring of air quality. The solution proposed by the authors prefigures the introduction of an agent up to provide main information about the reliability of the forecasting models in use. This resolution has been planned and implemented during the test phase, on a real system.
Web Agents in an Environmental Monitoring System / Amato, A.; DI LECCE, Vincenzo; Pasquale, C.; Piuri, V.. - (2005), pp. 262-265. (Intervento presentato al convegno IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005 tenutosi a Giardini Naxos, Italy nel July 20-22, 2005) [10.1109/CIMSA.2005.1522874].
Web Agents in an Environmental Monitoring System
DI LECCE, Vincenzo;
2005-01-01
Abstract
Agents are autonomous, reactive and pro-active problem solvers. They co-operate to achieve the overall goal of a system. Numerous systems are based on mutual support and/or competition of agents, which are developed to satisfy the queries of a human user. Systems of multi-agent acquirement (agencies) extracting clear information for the user have been developed during the monitoring of air quality. An evolution of the system is necessary to expand the basis of knowledge of the agency and estimate that can perform, as well as possible, the service offered by MAS. In this paper we will illustrate a proposal, which has been planned to improve a MAS, previously developed and employed for the monitoring of air quality. The solution proposed by the authors prefigures the introduction of an agent up to provide main information about the reliability of the forecasting models in use. This resolution has been planned and implemented during the test phase, on a real system.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
