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Designing Distributed Learning Environments with Intelligent Software Agents
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
Designing Distributed Learning Environments with Intelligent Software Agents
ISBN: 1591405009
EAN: 2147483647
Year: 2003
Pages: 121
BUY ON AMAZON
Lotus Notes and Domino 6 Development (2nd Edition)
Automating Your Application with Agents
Writing JavaScript for Domino Applications
Enhancing Domino Applications for the Web
How Does Domino Use XML?
Hyperlink Tags
Mastering Delphi 7
Writing Delphi Components
Libraries and Packages
Working with ADO
Reporting with Rave
Appendix B Extra Delphi Tools from Other Sources
Twisted Network Programming Essentials
Accepting Connections from Clients
Uploading a File
Responding to HTTP Requests
Calling XML-RPC Functions
Calling SOAP Web Services
Information Dashboard Design: The Effective Visual Communication of Data
Thirteen Common Mistakes in Dashboard Design
Exceeding the Boundaries of a Single Screen
Designing an Unattractive Visual Display
Understanding the Limits of Short-Term Memory
Sample Sales Dashboard
Java Concurrency in Practice
A (Very) Brief History of Concurrency
Documenting Synchronization Policies
Costs Introduced by Threads
Reducing Context Switch Overhead
Publication
Quartz Job Scheduling Framework: Building Open Source Enterprise Applications
Scheduling a Quartz Job Declaratively
Scheduling Jobs
Listening for Trigger Events
Creating the RMI Client
How Clustering Works in Quartz
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