Explication Basee Sur Un Modele Dans Des Systemes D Aide Au Diagnostic
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Designing Human-machine Cooperation Systems
This book, on the ergonomics of human−machine systems, is aimed at engineers specializing in informatics, automation, production or robotics, who are faced with a significant dilemma during the conception of human−machine systems. On the one hand, the human operator guarantees the reliability of the system and has been known to salvage numerous critical situations through an ability to reason in unplanned, imprecise and uncertain situations; on the other hand, the human operator can be unpredictable and create disturbances in the automated system. The first part of the book is dedicated to the methods of human-centered design, from three different points of view, the various chapters focusing on models developed by human engineers and functional models to explain human behavior in their environment, models of cognitive psychology and models in the domain of automobile driving. Part 2 develops the methods of evaluation of the human−machine systems, looking at the evaluation of the activity of the human operator at work and human error analysis methods. Finally, Part 3 is dedicated to human−machine cooperation, where the authors show that a cooperative agent comprises a know-how and a so-called know-how-to-cooperate and show the way to design and evaluate that cooperation in real industrial contexts.
Fuzzy Systems: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
language: en
Publisher: IGI Global
Release Date: 2017-02-22
There are a myriad of mathematical problems that cannot be solved using traditional methods. The development of fuzzy expert systems has provided new opportunities for problem-solving amidst uncertainties. Fuzzy Systems: Concepts, Methodologies, Tools, and Applications is a comprehensive reference source on the latest scholarly research and developments in fuzzy rule-based methods and examines both theoretical foundations and real-world utilization of these logic sets. Featuring a range of extensive coverage across innovative topics, such as fuzzy logic, rule-based systems, and fuzzy analysis, this is an essential publication for scientists, doctors, engineers, physicians, and researchers interested in emerging perspectives and uses of fuzzy systems in various sectors.
Chapitre 6 - Approche par intelligence artificielle du diagnostic basé sur les modèles
La discipline de l'intelligence artificielle (IA) se concentre sur le diagnostic initialement abordé comme un problème de classification reliant symptômes et causes. Les approches incluent les systèmes basés sur la connaissance (KBS), les systèmes de raisonnement basés sur des cas (CBR), les systèmes de machine learning et les systèmes basés sur modèle. Les choix dépendent des connaissances disponibles. Les KBS ont historiquement fourni des solutions spécifiques, tandis que le diagnostic basé sur modèle offre des solutions généralisables mais spécifiques. Mots-clés : intelligence artificielle (IA), diagnostic, systèmes experts, modèles de raisonnement, médecine, systèmes basés sur la connaissance (KBS). DOI : 10.51926/ISTE.9058.ch6