,
In this section, we propose the architecture of agent-based
user knowledge management in intelligent system as showed in
figure 1. The system consists of four parts: an interaction agent,
a cognitive agent, a user knowledge base and a user interface.
The interaction agent not only interacts with new users and
gets their personal information for identification, but records
interaction information of a user with intelligent tutoring
systems. The cognitive agent is responsible for recording
cognitive information concerning a user which is vital for the
system’s user-adapted operation. They work together to
construct user knowledge bases.
A user knowledge base is used to record personal data and
cognitive information of users, and interaction information
concerning a user and an intelligent tutoring system.