An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
Traditional knowledge management mechanism focused on the re-usage of knowledge library. However, it lacks the ability of knowledge innovation and co-creation. Meanwhile, employee...
Wepresent our approach to agent modelingfor communication, and compareit to an approach to agent modelingfor other types of action. The comparisonshould be instructive since both ...