This paper presents KnowledgeTree, an architecture for adaptive E-Learning based on distributed reusable intelligent learning activities. The goal of KnowledgeTree is to bridge th...
Traditionally, an application has to be stopped to be adapted. This approach is not suitable for critical systems that have to be non-stop and highly available like bank, internet...
: This paper presents a novel adaptive course composition system that based on mashing up learning content in a web application. The system includes three major components, static ...
The locomotor controller for walking, running, swimming, and flying animals is based on a Central Pattern Generator (CPG). Models of CPGs as systems of coupled non-linear oscillato...
M. Anthony Lewis, Ralph Etienne-Cummings, Avis H. ...
Machine Learning algorithms allow to create highly adaptable systems, since their functionality only depends on the features of the inputs and the coefficients found during the tr...