An XML framework for agent-based E-commerce
Communications of the ACM
Models and technologies for the coordination of Internet agents: a survey
Coordination of Internet agents
Multiagent Systems: A Survey from a Machine Learning Perspective
Autonomous Robots
Enterprise Knowledge Management
Computer
Learner-Centered Software Engineering Education: From Resources to Skills and Pedagogical Patterns
CSEET '02 Proceedings of the 15th Conference on Software Engineering Education and Training
Measuring Knowledge Transfer Skills by Using Constrained-Student Modeler Autonomous Agent
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Adaptive Educational Environments for Cognitive Skills Acquisition
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
Intelligent Guidance and Suggestions Using Case-Based Planning
ICCBR '07 Proceedings of the 7th international conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Social-based planning model for multiagent systems
Expert Systems with Applications: An International Journal
Payment frameworks for the purchase of electronic products and services
Computer Standards & Interfaces
Web-Based authoring tool for e-salesman system
EUC'05 Proceedings of the 2005 international conference on Embedded and Ubiquitous Computing
Experimenting with a multi-agent e-commerce environment
PaCT'05 Proceedings of the 8th international conference on Parallel Computing Technologies
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E-learning is nowadays recognized as one of the key components of Enterprise Knowledge Management platforms. Given a project specification, the platform should be able to suggest a project team, to measure human resources competence gaps and to contribute to reduce them by creating personalized learning paths. In this paper we propose an XML based Multi-Agent System to perform the following tasks: (i) supporting Chief Learning Officers in defining roles, associated competencies and knowledge level required; (ii) managing the skill map of the organization; (iii) measuring human resources competence gaps; (iv) supporting employees in filling their competence gaps as related to their roles; (v) enriching a given courseware or creating personalized learning paths according to feedbacks user provides in order to optimize the acquisition of needed competencies; (vi) assisting Chief Learning Officers in choosing the most appropriate employee for a given role.