Mining for association rules in market basket data has proved a fruitful areaof research. Measures such as conditional probability (confidence) and correlation have been used to i...
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
It is self-evident that in numerous Multiagent settings, selfish agents stand to benefit from cooperating by forming coalitions. Nevertheless, negotiating a stable distribution of...
Large-scale distributed denial of service (DoS) attacks are an unfortunate everyday reality on the Internet. They are simple to execute and with the growing prevalence and size of...
Colin Dixon, Thomas E. Anderson, Arvind Krishnamur...
Roboethics is a recently developed field of applied ethics which deals with the ethical aspects of technologies such as robots, ambient intelligence, direct neural interfaces and i...