JOURNAL ARTICLE

Agent-Based User Knowledge Management in Intelligent Tutoring Systems

Abstract

A formal model of agent-based user knowledge management in intelligent tutoring systems is presented in this paper. It consists of an interaction agent and a coginitive agent. 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. These two kinds of agents work together to construct user knowledge bases. After given the formalisms of the above two kinds of agents, the formal model of agent-based user knowledge management is presented, and the building and updating of user knowledge bases is discussed in detail to show that the model is practicable.

Keywords:
Computer science Rotation formalisms in three dimensions User modeling Intelligent agent Human–computer interaction Construct (python library) Computer user satisfaction Intelligent decision support system User agent Knowledge management User interface User interface design Artificial intelligence User experience design World Wide Web

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Topics

Intelligent Tutoring Systems and Adaptive Learning
Physical Sciences →  Computer Science →  Artificial Intelligence
Multi-Agent Systems and Negotiation
Physical Sciences →  Computer Science →  Artificial Intelligence
Speech and dialogue systems
Physical Sciences →  Computer Science →  Artificial Intelligence

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