Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...
Multiagent environments are often highly dynamic and only partially observable which makes deliberative action planning computationally hard. In many such environments, however, a...
—Time and uncertainty of the environment are very important aspects in the development of real world applications. Another important issue for the real world agents is, the balan...
Trial-based approaches offer an efficient way to solve singleagent MDPs and POMDPs. These approaches allow agents to focus their computations on regions of the environment they en...
In Ambient Intelligence (AmI) environments, some services provided by AmI devices are often not visible to users and to other devices. The existing approaches deal with servicesâ€...
Yazid Benazzouz, Nicolas Sabouret, Belkacem Chikha...