Utilize este identificador para referenciar este registo: http://hdl.handle.net/10400.22/5130
Título: An Intelligent Distributed System for Environmental Management
Autor: Malheiro, Benedita
Oliveira, Eugénio
Palavras-chave: Environmental Management
Atmospheric Protection
Air Quality Control
Air Pollution
Computer Science
Data: 1995
Editora: Springer Netherlands
Citação: Benedita Malheiro; Eugénio Oliveira. An Intelligent Distributed System for Environmental Management, In Environmental Informatics, 355-370, ISBN: 978-90-481-4538-6. Dordrecht: Springer Netherlands, 1995.
Relatório da Série N.º: EUROCOURSES;Vol. 6
Resumo: Environmental management is a complex task. The amount and heterogeneity of the data needed for an environmental decision making tool is overwhelming without adequate database systems and innovative methodologies. As far as data management, data interaction and data processing is concerned we here propose the use of a Geographical Information System (GIS) whilst for the decision making we suggest a Multi-Agent System (MAS) architecture. With the adoption of a GIS we hope to provide a complementary coexistence between heterogeneous data sets, a correct data structure, a good storage capacity and a friendly user’s interface. By choosing a distributed architecture such as a Multi-Agent System, where each agent is a semi-autonomous Expert System with the necessary skills to cooperate with the others in order to solve a given task, we hope to ensure a dynamic problem decomposition and to achieve a better performance compared with standard monolithical architectures. Finally, and in view of the partial, imprecise, and ever changing character of information available for decision making, Belief Revision capabilities are added to the system. Our aim is to present and discuss an intelligent environmental management system capable of suggesting the more appropriate land-use actions based on the existing spatial and non-spatial constraints.
URI: http://hdl.handle.net/10400.22/5130
DOI: 10.1007/978-94-017-1443-3_20
ISBN: 978-90-481-4538-6
Versão do Editor: http://link.springer.com/chapter/10.1007/978-94-017-1443-3_20
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