Detecting and preventing the adversarial action of an agent with respect to the community of agents can be a serious issue in the design of open multi-agent systems. This task is ...
Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
Open Hypermedia have come up with several systems, which can provide services to software developers. This paper argues that usability is a critical attribute that should be taken...
Soccer is a rich domain for the study of multiagent learning issues. Not only must the players learn low-level skills, but they must also learn to work together and to adapt to th...
In this paper the analogy between biological swarms and artificial multiagent systems is pointed out. As an example the steps required to model the artificial optimization techniq...
Stefan Wagner 0002, Michael Affenzeller, Ismail Kh...