Modeling and Understanding Time-Evolving Scenarios

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.

Keywords

• Bayesian Network
• Rule-Based Systems
• Time- Evolving Scenarios
• Knowledge Artifacts
• Shadow Facts