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.

Melen, R., Sartori, F., Grazioli, L. (2015). Modeling and understanding time-evolving scenarios. JOURNAL OF SYSTEMICS, CYBERNETICS AND INFORMATICS, 13(5), 62-67.

Modeling and understanding time-evolving scenarios

Melen, R;Sartori, F;Grazioli,L
2015

Abstract

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.
Articolo in rivista - Articolo scientifico
Bayesian network, rule-based systems, knowledge artifacts
English
62
67
6
http://hdl.handle.net/10281/93535
Melen, R., Sartori, F., Grazioli, L. (2015). Modeling and understanding time-evolving scenarios. JOURNAL OF SYSTEMICS, CYBERNETICS AND INFORMATICS, 13(5), 62-67.
Melen, R; Sartori, F; Grazioli, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/99294
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