Miquel Sànchez-Marrè

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Environmental Studies and Artificial Intelligence are both of strategic interest. Both areas can provide society with nice solutions for many real applications, in order to protect the environment. The encounter between these fields is a new challenge for many researchers of both communities. In the foreword of the Environmental Science and Engineering for(More)
The activated sludge process –the main biological technology usually applied to wastewater treatment plants (WWTP)– directly depends on live beings (microorganisms), and therefore, on unforeseen changes experimented by them. It could be possible to get a good plant operation if the supervisory control system is able to react to the changes and deviations of(More)
This paper characterizes part of an interdisciplinary research effort on AI techniques applied to environmental decision-support systems. The architectural design of the OntoWEDSS decision-support system for wastewater management is presented. This system augments classic rule-based reasoning and case-based reasoning with a domain ontology, which provides a(More)
In this paper we present a novel approach for combining Case-Based Reasoning (CBR) and Argumentation. This approach involves 1) the use of CBR for evaluating the arguments submitted by agents in collaborative decision making dialogs, and 2) the use of Argument Schemes and Critical Questions to organize the CBR memory space. The former involves use of past(More)
Although activated sludge process is a very widely used biologicalprocess in wastewater treatment plants (WWTP), and there areproperly functioning control loops such as that of dissolved oxygen,in practice, this type of plant requires a major time investment onthe part of the operator, involving many manual operations.Treatment plants work well most of the(More)
An effective protection of our environment is largely dependent on the quality of the available information used to make an appropriate decision. Problems arise when the quantities of available information are huge and nonuniform (i.e., coming from many different disciplines or sources) and their quality could not be stated in advance. Another associated(More)
a Software Department, Technical University of Catalonia (UPC), Jordi Girona 1-3, E08034 Barcelona, Catalonia, Spain E-mail: {ia,miquel,sanguesa}@lsi.upc.es b Chemical and Environmental Engineering Lab, University of Girona, Campus de Montilivi, E17071 Girona, Catalonia, Spain E-mail: {ignasi,quim,poch}@lequia1.udg.es c Department of Computer Engineering &(More)
Case-based reasoning (CBR) provides an adequate framework to cope with continuous domains, where a great amount of new valuable experiences are generated in a non-stop way. CBR systems become more competent in their evolution over time by means of learning new relevant experiences. There are two central problems derived from the continuous nature of some(More)
In recent years, several researchers have studied the suitability of CBR to cope with dynamic or continuous or temporal domains. In these domains, the current state depends on the past temporal states. This feature really makes difficult to cope with these domains. This means that classical individual case retrieval is not very accurate, as the dynamic(More)
One of the most difficult tasks in the whole KDD process is to choose the right data mining technique, as the commercial software tools provide more and more possibilities together and the decision requires more and more expertise on the methodological point of view. Indeed, there are a lot of data mining techniques available for an environmental scientist(More)