Agent-Based Web Learning System Applying Dynamic Fuzzy Petri Net

Yueh Min Huang, Juei Nan Chen, Shu Chen Cheng, William C. Chu

Research output: Chapter in Book/Report/Conference proceedingChapter

6 Citations (Scopus)

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

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsWenyin Liu, Yuanchun Shi, Qing Li
PublisherSpringer Verlag
Pages338-345
Number of pages8
ISBN (Electronic)3540225420, 9783540225423
DOIs
Publication statusPublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3143
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Agent-Based Web Learning System Applying Dynamic Fuzzy Petri Net'. Together they form a unique fingerprint.

Cite this