In view of students' individual difference in the learning process, in this paper we propose a personalized learning system, to which intelligent Agent technique and case-bas...
Rich computer simulations or quantitative models can enable an agent to realistically predict real-world behavior with precision and performance that is difficult to emulate in log...
The environments in which agents are used often may be described by dynamical models, for example in the form of a set of differential equations. In this paper an agent model is pr...
There is a need for research on the scientific base and engineering requirements for building trustworthy systems in dynamic environments. To address this need, we study risk analy...
Recommender systems have evolved in the last years as specialized tools to assist users in a plethora of computermediated tasks by providing guidelines or hints. Most recommender ...