دورية أكاديمية
Modeling and Understanding Time-Evolving Scenarios
العنوان: | Modeling and Understanding Time-Evolving Scenarios |
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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 |
تدمد: | 16904524 |
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