In a testing session, students may want to use the information of other students, which is cheating. The authors of this paper develop an artificial society to model and simulate this situation. They consider two control ...

In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader...

Earlier works have reported that reward shaping accelerates the convergence of reinforcement learning

algorithms. It also helps to make better use of existing information. In this article we propose the use to modify Qlearning in multi agent...

We propose a novel algorithm for coalition formation in Multi-Agent Systems (MAS). Coalition Formation (CF) is a type of cooperation in MAS. This cooperation is expressed with coalitions of agents. In literature, CF has been viewed...