دورية أكاديمية

Modeling and Understanding Time-Evolving Scenarios

التفاصيل البيبلوغرافية
العنوان: Modeling and Understanding Time-Evolving Scenarios
المؤلفون: Riccardo Melen, Fabio Sartori, Luca Grazioli
المصدر: Journal of Systemics, Cybernetics and Informatics, Vol 13, Iss 5, Pp 62-67 (2015)
بيانات النشر: International Institute of Informatics and Cybernetics, 2015.
سنة النشر: 2015
المجموعة: LCC:Information technology
LCC:Communication. Mass media
مصطلحات موضوعية: Bayesian Network, Rule-Based Systems, Time- Evolving Scenarios, Knowledge Artifacts, Shadow Facts, Information technology, T58.5-58.64, Communication. Mass media, P87-96
الوصف: In this paper, we consider the problem of modeling application scenarios characterized by variability over time and involving heterogeneous kinds of knowledge. The evolution of distributed technologies creates new and challenging possibilities of integrating different kinds of problem solving methods, obtaining many benefits from the user point of view. In particular, we propose here a multilayer modeling system and adopt the Knowledge Artifact concept to tie together statistical and Artificial Intelligence rule-based methods to tackle problems in ubiquitous and distributed scenarios.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1690-4524
Relation: http://www.iiisci.org/Journal/CV$/sci/pdfs/SA268SN15.pdf; https://doaj.org/toc/1690-4524
URL الوصول: https://doaj.org/article/94f506f62a92440c91aea57ee75e9cfe
رقم الأكسشن: edsdoj.94f506f62a92440c91aea57ee75e9cfe
قاعدة البيانات: Directory of Open Access Journals