Intelligent automatic community grouping system by multiagents

We have developed an intelligent ubiquitous web-based e-learning system based on multiagents. The proposed system, intelligent ubiquitous web-based e-learning multiagent system, uses the new distributed multiagent framework and neural networks for e-learning grouping. The proposed system implements the user’s individual satisfaction network by analyzing the degree of satisfaction among learners in groups in a web environment. The satisfaction network is personalized by providing weights to the learners’ degree of satisfaction in the e-learning grouping. It constructs the learners’ satisfaction network model about the e-learning grouping. Based on this network model, the proposed system can decide if the group remains, or is reorganized, or breaks down for the next time, and the system learns about these states. This work was presented in part at the 12th International Symposium on Artificial Life and Robotics, Oita, Japan, January 25–27, 2007