The frequent changes during the development and usage of large software systems often lead to a loss of architectural quality which hampers the implementation of further changes a...
The agents in multiagent systems can coordinate their actions and handle tasks jointly by forming coalitions. One of the important steps in this process is the fair division of pa...
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
Interdomain routing is essential to both the stability and efficiency of the global Internet. However, most previous studies focus only on stability, and only on a special class ...
Ronny Ramzi Dakdouk, Semih Salihoglu, Hao Wang, Ha...
Abstract. Modern distributed computing demands unprecedented levels of dynamicity and reconfiguration. Mobile computing, peer-to-peer networks, computational grids, multiagent sys...