ADAPTIVE LEARNING OF ASSIMILATION AND ACCOMMODATION FOR INTELLIGENT AGENT SYSTEM

2007 ◽  
pp. 1172-1178
Author(s):  
JONG YIH KUO ◽  
KAI CHUN CHANG
Keyword(s):  
Adaptive Learning ◽  
Intelligent Agent ◽  
Agent System

Enhancing Wikipedia Management by Evaluation Agent System

2012 ◽  
Vol 4 (3) ◽  
pp. 63-80
Keyword(s):  
Intelligent Agent ◽  
Conventional Approach ◽  
Agent System ◽  
Rule Based ◽  
Management Guidelines ◽  
Web 3.0 ◽  
Cross Platform ◽  
Real Time Information ◽  
Time Information ◽  
Better Than

Wikipedia has recently become a popular platform for knowledge sharing and creation. However, the enormously increasing amount of editing has caused management problems with efficiency, accuracy, and convenience for Wikipedia administrators. Therefore, this study aimed to develop an intelligent agent system based on Web 3.0, the evaluation agent system (EAS), to solve these problems. The EAS is characterized by hybrid Web techniques, artificial intelligence, integration of management guidelines, retrieval of real-time information, and the transfer of cross-platform data and includes the following three systems: the testing agent, the wiki agent, and the rule-based expert system (RBES) agent. Because the RBES was central to the EAS, 29 university students were included in the study to examine the effectiveness of the RBES compared to the conventional approach to administration. The findings revealed that the RBES was better than the conventional approach in accuracy, efficiency, operation convenience, and fatigue strength.

Information Management in Mobile Environments Using a Location-Aware Intelligent Agent System

2011 ◽  
pp. 1-17
Author(s):  
Amrish Vyas ◽  
Victoria Yoon
Keyword(s):  
Intelligent Agent ◽  
Location Based Services ◽  
Agent System ◽  
Content Dissemination ◽  
New Era ◽  
Location Aware ◽  
Spatio Temporal ◽  
Types Of Information ◽  
Push And Pull ◽  
User Location

Recent rise in the level of comfort and demand to access various types of information using mobile devices can be attributed to the advancements in wireless as well as Internet technologies. This demand leads us to the new era of mobile computing. Location-based services (LBS) are engendering new passion in mobile services utilizing users’ location information. Such spatio-temporal information processing entails the need for a dynamic middleware that accurately identifies changing user location and attaches dependent content in real-time without putting extra burden on users. Our work focuses on creating a distributed infrastructure suitable to support such scalable content dissemination. As a result this chapter offers a conceptual framework, location-aware intelligent agent system (LIA) in integration with publish/subscribe middleware to comprehensively address dynamic content dissemination and related issues. We discuss the operational form of our framework in terms of PUSH and PULL strategies.

Adaptive E-Learning Environments

2013 ◽  
Vol 11 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Pierpaolo Di Bitonto ◽  
Teresa Roselli ◽  
Veronica Rossano ◽  
Maria Sinatra
Keyword(s):  
Distance Learning ◽  
Learning Environments ◽  
Recommender System ◽  
Adaptive Learning ◽  
Multi Agent System ◽  
Agent System ◽  
Educational Environments ◽  
E Learning ◽  
Multi Agent ◽  
Learning Research

One of the most closely investigated topics in e-learning research has always been the effectiveness of adaptive learning environments. The technological evolutions that have dramatically changed the educational world in the last six decades have allowed ever more advanced and smarter solutions to be proposed. The focus of this paper is to depict the three main dimensions that have driven research in the e-learning field and the evolution of the technological approaches adopted for the purposes of building advanced educational environments for distance learning. Then, the three different approaches adopted by the authors are discussed; these consist of a multi-agent system, an adaptive SCORM compliant package and an e-learning recommender system.

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