Many multiagent problems comprise subtasks which can be considered as reinforcement learning (RL) problems. In addition to classical temporal difference methods, evolutionary algo...
Jan Hendrik Metzen, Mark Edgington, Yohannes Kassa...
Even after more than two decades of input devices development, many people still find the interaction with computers an uncomfortable experience. Efforts should be made to adapt c...
We consider the frame problem, that is, char acterizing the assumption that properties tend to persist over time. We show that there are at least three distinct assumptions that...
In this technical demonstration we show an integrated web system for video search and annotation based on ontologies. The system is composed by three components: the Orione1 ontol...
Marco Bertini, Gianpaolo D'Amico, Andrea Ferracani...
The notion of maintenance often appears in the AI literature in the context of agent behavior and planning. In this paper, we argue that earlier characterizations of the notion of...