Discovery of knowledge flow in science
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Model and Implement an Agent Oriented E-Learning System
CIMCA '05 Proceedings of the International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce Vol-2 (CIMCA-IAWTIC'06) - Volume 02
Knowledge flow network planning and simulation
Decision Support Systems
Social networks, communication styles, and learning performance in a CSCL community
Computers & Education
International Journal of Advanced Media and Communication
Social Search: Exploring and Searching Social Architectures in Digital Networks
IEEE Internet Computing
Social and Economic Networks
Model of a Collaboration Environment for Knowledge Management in Competence-Based Learning
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
KSEM '09 Proceedings of the 3rd International Conference on Knowledge Science, Engineering and Management
Generating learning sequences for decision makers through data mining and competence set expansion
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Model of community-build system for knowledge development
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
Open system of distance learning: soft system approach to information system analysis
International Journal of Knowledge and Web Intelligence
Discussion of the competence management models for education context
KES-AMSTA'12 Proceedings of the 6th KES international conference on Agent and Multi-Agent Systems: technologies and applications
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Nowadays, e-learning systems take the form of the Distance Learning Network (DLN) due to widespread use and accessibility of the Internet and networked e-learning services. The focal point of the DLN performance is efficiency of knowledge processing in asynchronous learning mode and facilitating cooperation between students. In addition, the DLN articulates attention to social aspects of the learning process as well. In this paper, a method for the DLN development is proposed. The main research objectives for the proposed method are the processes of acceleration of social collaboration and knowledge sharing in the DLN. The method introduces knowledge-disposed agents (who represent students in educational scenarios) that form a network of individuals aimed to increase their competence. For every agent the competence expansion process is formulated. Based on that outcome the process of dynamic network formation performed on the social and knowledge levels. The method utilizes formal apparatuses of competence set and network game theories combined with an agent system-based approach.