Complexity theory is a useful tool to study computational issues surrounding the elicitation of preferences, as well as the strategic manipulation of elections aggregating togethe...
We address the learning of trust based on past observations and context information. We argue that from the truster's point of view trust is best expressed as one of several ...
We demonstrate two game theory-based programs for headsup limit and no-limit Texas Hold'em poker. The first player, GS3, is designed for playing limit Texas Hold'em, in ...
Andrew Gilpin, Tuomas Sandholm, Troels Bjerre S&os...
Finding motifs in biological sequences is one of the most intriguing problems for string algorithms designers due to, on the one hand, the numerous applications of this problem in...
To ensure that a trust negotiation succeeds whenever possible, authorization policy compliance checkers must be able to find all minimal sets of their owners' credentials tha...