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

DI LECCE, Vincenzo;
2005

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.
IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2005
0-7803-9026-1
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11589/15334
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 8
social impact