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Designing Distributed Learning Environments with Intelligent Software Agents

ISBN: 1591405009
EAN: 2147483647

Year: 2003
Pages: 121

BUY ON AMAZON

• Table of Contents
• Designing Distributed Learning Environments with Intelligent Software Agents
• Preface
• Organization of This Book
• Conclusions
• References
• Chapter 1: A Human Collaborative Online Learning Environment Using Intelligent Agents
• Introduction
• A Human Collaborative Online Learning Environment
• Identification of Services and Agents
• Multiagent System Architecture
• Architecture of the COLE
• Discussion
• References
• Chapter 2: Intelligent Agents Supporting Distributed Collaborative Learning
• Introduction
• Design Issues of Intelligent Agents as Facilitators
• Facilitator Agents in FLE
• Facilitator Agent in Mindmap Building Tool
• Related Work
• Conclusions and Future Work
• Acknowledgments
• References
• Chapter 3: Privacy and Trust in Agent-Supported Distributed Learning1
• Introduction
• Privacy Legislation and Standards
• Privacy-Enhancing Technologies for ADL
• Promoting Trust in ADL Systems
• Conclusions and Further Research
• References
• Chapter 4: Intelligence in MAS-Based Distributed Learning Environments
• Introduction
• Why Intelligence?
• Case-Based Reasoning for Distributed-Learning Environments
• Symbolic Machine Learning for Student Modeling
• Knowledge-Based Intelligent Support in MAS-Based DLEs
• Future Trends
• Conclusions
• References
• Chapter 5: Knowledge Management for Agent-Based Tutoring Systems
• Introduction
• Background
• Multi-Agent-Based Educational Environment
• Knowledge Management for a Tutoring System
• Future Trends
• Further Reading
• Conclusions
• References
• Chapter 6: Intelligent Tutoring Systems for Distributed Learning
• Introduction
• Background
• The Student
• Domain Module
• Student Model
• Pedagogical Module
• Interface Module
• Future Trends
• Conclusions
• References
• Chapter 7: Integrating Agents and Web Services into Adaptive Distributed Learning Environments
• Introduction
• Background
• Issues and Challenges
• Solutions and Recommendations
• Examples
• Future Trends
• Conclusions
• References
• Chapter 8: A Multiagent Framework for an Adaptive E-Learning System
• Introduction to the Personalization Problem in E-Learning
• Related Works
• Why Use Intelligent Agents for Adaptive E-Learning?
• Multiagent Framework for Course Personalization
• Conclusions
• References
• Chapter 9: A Language for Specifying Agent Systems in E-Learning Environments
• Introduction
• Background
• The Chemical Reaction Model
• Modeling Agents with Gamma
• Specifying Multiagent Systems in E-Learning Environments
• From Specification to Implementation
• Discussion and Directions for Future Research
• Conclusions
• References
• Chapter 10: A VR-Based Virtual Agent System
• Introduction
• The Construction of the 3D Campus Scene
• VR-Based Motion Detection and Behavior Understanding
• A Declarative Specification Language for Learning Behavior Supervision
• Conclusions
• Acknowledgment
• References
• Index
• Index_A
• Index_B
• Index_C
• Index_D
• Index_E
• Index_F
• Index_G
• Index_H
• Index_I
• Index_J
• Index_K
• Index_L
• Index_M
• Index_N
• Index_O
• Index_P
• Index_Q
• Index_R
• Index_S
• Index_T
• Index_U
• Index_V
• Index_W
• Index_X
• List of Figures
• List of Tables