Philosophy, artificial intelligence and cognitive science have long been dominated by the presupposition that intelligence is fundamentally individual. Recent work in cognitive sci...
It is not uncommon for modern systems to be composed of a variety of interacting services, running across multiple machines in such a way that most developers do not really unders...
In this paper, we propose a general-purpose framework that harnesses the power of lightweight virtualization to track applications interactions in a scalable an efficient manner. ...
Yih Huang, Angelos Stavrou, Anup K. Ghosh, Sushil ...
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
Within the field of cultural heritage restoration, experts are interested in the analysis of data describing the condition and history of ancient monuments. Data are usually distr...