Interactive knowledge acquisition, by a telematic system, in the field of waste water treatment
type: Dataset
description: The aim of mis work is to build a water project management tool, which involves me study of expert knowledge transfer to a computer system. The architecture of this Intelligent Workstation is introduced wim the paradigm of Second Generation Expert Systems : different knowledge levels, which need several ways of knowledge acquisition, appear. On one hand, a project simulator is used for deep knowledge acquisition; and, on the omer hand, a telematics system, based on machine learning from examples, is used for shallow knowledge acquisition. This machine learning is done by incrementally constructing a Perceived Dependencies Network. Nevertheless, we don't expect me system to learn only from examples of resolved problems supplied by experts. The system also has to be able to hold a dialogue with experts to validate learned knowledge. This permits to prevent erroneous data introduction, while allowing knowledge base changes due to possible field evolutions (technological innovation, statutory evolution, ... ).
landing page: https://theses.hal.science/tel-00838502
identifier: NNT: 1992MON20004
keyword: acquisition-de-la-connaissance
keyword: amenagement-en-eau
keyword: apprentissage-symbolique-automatique
keyword: assainissement-des-eaux-usees
keyword: gestion-de-projets
keyword: infoeu-reposemanticsdoctoralthesis
keyword: infoinfo-mocomputer-science-csmodeling-and-simulation
keyword: knowledge-acquisition
keyword: machine-learning
keyword: project-management
keyword: project-simulation
keyword: simulation-de-projets
keyword: theses
keyword: waste-water-treatment
keyword: water-management
issued: 2026-05-10T13:45:02.767533
modified: 2026-05-10T13:45:02.767538
language: fr
contact point: Organization
  fn: CCSD

test_moissonnage_selune
type: Agent

Interactive knowledge acquisition, by a telematic system, in the field of waste water treatment
type: Distribution
format: HTML
access URL: https://theses.hal.science/tel-00838502
issued: 2026-05-10T13:45:02.774248
modified: 2026-05-10T13:45:02.753535