title: Qualitative Reasoning methods for CELSS modeling.
abstract: Qualitative Reasoning (QR) is a branch of Artificial Intelligence that arose from research on engineering problem solving. This paper describes the major QR methods and techniques, which, we believe, are capable of addressing some of the problems that are emphasized in the literature and posed by CELSS modeling, simulation, and control at the supervisory level.
authors.affiliation: Institut National de la Recherche Agronomique, Biometrics and Artifical Intelligence Station, Castanet-Tolosan, France.
authors.forename: F
authors.initials: F
authors.lastname: Guerrin
authors.forename: K
authors.initials: K
authors.lastname: Bousson
authors.lastname: Steyer JPh
authors.forename: L
authors.initials: L
authors.lastname: Trave-Massuyes
mesh_terms: D001185:Artificial Intelligence; D003198:Computer Simulation; D003658:Decision Making, Computer-Assisted; D018504:Ecological Systems, Closed; D001330:Electronic Data Processing; D056890:Eukaryota; D008021:Life Support Systems / Q000295:instrumentation*; D008433:Mathematics; D008954:Models, Biological; D010839:Phytoplankton