In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
The expanding and dynamic nature of the Web poses enormous challenges to most data mining techniques that try to extract patterns from Web data, such as Web usage and Web content....
Mobile thin client computing is an enabler for the execution of demanding applications from mobile handhelds. In thin client computing, the application is executed on remote serve...
Clusters provide powerful computing environments, but in practice much of this power goes to waste, due to the static allocation of tasks to nodes, regardless of their changing co...
Organizational Self-Design (OSD) has been proposed as an approach to constructing suitable organizations at runtime in which the agents are responsible for constructing their own ...