Abstract
This paper presents an Agent-Based Web Learning System to facilitate each learner achieving his learning target. Agent is a software assistant for single user, which can be an expert in specific domain. The agent can generate a learning sequence to the learner based on DFPN (Dynamic Fuzzy Petri Net). Besides, we suggest that each course should define the study intensity function to normalize different exercise grade criteria. In DFPN, each learner should receive different learning suggestions based on evaluation degree of truth of any proposition. Therefore, ABWLS can make students feel that "everyone is different", and achieve one-to-one learning effect. Keywords: E-Leaming, Dynamic Fuzzy Petri Net, Agent © Springer-Verlag 2004.
Cite
CITATION STYLE
Huang, Y. M., Chen, J. N., Cheng, S. C., & Chu, W. C. (2004). Agent-Based Web Learning System Applying Dynamic Fuzzy Petri Net. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3143, 338–345. https://doi.org/10.1007/978-3-540-27859-7_44
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