Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
Based on SCORM sequencing and navigation specifications, a learning management system has been developed. The system has intelligent tutoring system capabilities that allow content...
We introduce a framework, called "physicomimetics," that provides distributed control of large collections of mobile physical agents in sensor networks. The agents sense...
William M. Spears, Diana F. Spears, Jerry C. Haman...
To achieve a smart sensor network with Web-based sensor nodes such as Field Servers, we propose a hierarchical agent system that manages sensor nodes autonomously and flexibly, an...
: Today, virtual enterprise is regarded as the most competitive management model of enterprises that faces the resource of the globe. This paper proposed an instructor of remote ma...