Probabilistic relational models are an efficient way to learn and represent the dynamics in realistic environments consisting of many objects. Autonomous intelligent agents that gr...
The emergence of Grim Trigger as the dominant strategy in the Iterated Prisoner Dilemma (IPD) on a square lattice is investigated for players with finite memory, using three differ...
Some real-world problems are partially decomposable, in that they can be decomposed into a set of coupled subproblems, that are each relatively easy to solve. However, when these ...
We present a scalable approach to recognizing and describing complex activities in video sequences. We are interested in long-term, sequential activities that may have several par...
It has recently been observed that the node degrees of many real-world large-scale networks, such as the Internet and the Web, follow a power law distributions. Since the classical...