Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
We develop a Belief-Desire-Intention (BDI) style agent-oriented programming language with special emphasis on the semantics of goals in the presence of the typical BDI failure han...
Parallel to the societal diffusion of digital technologies, the debate on their impacts and requirements has created terms like ICT literacy, digital literacy or digital competenc...
—Wireless local area network (WLAN) systems are widely implemented today to provide hot spot coverage. Operated typically in an infrastructure mode, each WLAN is managed by an ac...
— The performance of wireless data systems has been thoroughly studied in the context of a single base station. In the present paper we analyze networks with several interacting ...