W10: Uncertainty Management, Spatial and Temporal Reasoning, and Validation of Intelligent Environmental Decision Support Systems
Organisers / Leaders
Miquel Sànchez-Marrè, Knowledge Engineering & Machine Learning Group, Technical University of Catalonia, Catalonia (main contact person)
Ignasi Rodr’guez-Roda, Laboratory of Chemical and Environmental Engineering, University of Girona, Catalonia (main contact person)
Richard S. Sojda, Northern Rocky Mountain Science Center, USDI - Geological Survey, Biological Resources Division, Department of Ecology, Montana State University, USA
Jean Philippe Steyer, Laboratory of Environmental Biotechnology (LBE), INRA Narbonne, France
Peter Struss, Dept. of Computer Science, Technical University of Munich, Germany
Goals
The workshop will create a discussion platform for Artificial Intelligence (AI) and Environmental researchers involved in the development of applications in the Intelligent Environmental Decision Support Systems (IEDSS) area. Nowadays, AI techniques such as rule-based reasoning, fuzzy models, case-based reasoning, qualitative reasoning, artificial neural networks, genetic algorithms and programming, model-based reasoning, bayesian networks, multiagent systems, etc., enable the construction of reliable and real applications. IEDSS are present in the environmental management process at different levels such as hazard identification, risk assessment, risk evaluation and intervention decision-making.
Workshop participants may come from all environmental science and AI fields. Although there are numerous topics that could be discussed, this workshop will focus on the following challenging and cutting edge issues within the interdisciplinary field of Artificial Intelligence and Environmentall Sciences:
Uncertainty management: AI models, limitations and challenges
Temporal Reasoning: considering time-dependent data in AI models
Spatial Reasoning: considering spatial-dependent data, and Integration of AI models and software into GIS
Benchmarking and empirical verification and validation of AI Environmental systems: an open problem
These four themes are open problems and foster new challenges to develop improved Intelligent Environmental Decision Support Systems. These themes will foster a challenging and interesting atmosphere for a deep and multifaceted discussion about them. The primary goal of the workshop is to offer the framework for producing a joint position paper from all the involved workshop participants.
Procedure
The proposed procedure, in the same vein as the other iEMSsÕ06 workshops, will be the following:
The organisers will write a position paper, due by November 30th, 2005, which will serve as a starting point for the workshop discussions. This position paper will be pre-published in the Summit Proceedings CD.
All intended workshop participants will submit an abstract, due by November 30th, 2005 to be pre-published in the Summit Proceedings CD.
All participants will discuss the proposed themes during the workshop.
After the fruitful discussion emanating from the workshop, the original position paper will be revised. It will be co-authored by workshop participants selected by the committee and submitted as a paper of the EMS journal or as a chapter in the new IDEA series book.
Web References
Summit on Environmental Modelling & Software organised by International Environmental Modelling & Software Society at Vermont (iEMSsÕ06): >>http://www.iemss.org/iemss2006/
Binding Environmental Sciences and Artificial Intelligence (BESAI) working group: >>http://www.lsi.upc.edu/~webia/besai/besai.html