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. In Proceedings of the 19th World Multiconference on Systemics, Cybernetics and Informatics (WMSCI 2015) - Volume I (pp.267-272). International Institute of Informatics and Systemics, IIIS.
Modeling and understanding time-evolving scenarios
MELEN, RICCARDOPrimo
;SARTORI, FABIO;GRAZIOLI, LUCA
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.
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