Intelligent Environmental Decision Support Systems

Authors

• M. Sànchez-Marrè, Technical University of Catalonia , Barcelona
• K. Gibert, Technical University of Catalonia , Barcelona
• R. S. Sojda, Northern Rocky Mountain Science Center,USDI, Geological Survey
• J. P. Steyer, Laboratoire de Biotechnologie de l'Environnement, Narbonne, France
• P. Struss, Technical University of Munich
• I. Rodríguez-Roda, University of Girona, Spain
• J. Comas, University of Girona, Spain
• V. Brilhante, Federal University of Amazonas, Brazil
• E. A. Roehl, Advanced Data Mining, Greenville, SC

Document Type

Article

Date of this Version

2008

Comments

Published in ENVIRONMENTAL MODELLING, SOFTWARE AND DECISION SUPPORT: STATE OF THE ART AND NEW PERSPECTIVES, edited by A. J. Jakeman, A. A. Voinov, A. E. Rizzoli, & S. H. Chen (Amsterdam et al.: Elsevier, 2008). This article is a U.S. government work and is not subject to copyright in the United States.

Abstract

Introduction
Complexity of environmental systems
New tools for a new paradigm
Intelligent Environmental Decision Support Systems (IEDSS)
IEDSS development
About Uncertainty Management
Temporal Reasoning
Featuring the problem
Approaches to temporal reasoning
Case-based reasoning for temporal reasoning
Geographic Information and Spatial Reasoning
Understanding spatial reasoning
Kriging and variants
Representing change/time steps/feedback loops
Middleware. blackboards and communication protocols
Multiagent systems
Evaluation of IEDSS and Benchmarking
Benchmarking
Conclusions and Future Trends