Abstract- Multiagent reinforcement learning for multirobot systems is a challenging issue in both robotics and artificial intelligence. With the ever increasing interests in theor...
In this paper, we present a survey of challenges and solutions of multilingual and translingual information service systems. In contrast to the computational linguistics literature...
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Open hypermedia systems provide a decoupled approach to structural computing. This entails that the architecture of the systems are made up of user agents that communicate with di...
This paper analyses the robustness of networked systems from a game-theoretical perspective. Networked systems often consist of several subsystems sharing resources interdependentl...