Preserving privacy during Web transactions is a major concern for individuals and organizations. One of the solutions proposed in the literature is to maintain anonymity through gr...
Mamata Jenamani, Leszek Lilien, Bharat K. Bhargava
Multiagent learning literature has investigated iterated twoplayer games to develop mechanisms that allow agents to learn to converge on Nash Equilibrium strategy profiles. Such ...
Whenever a pervasive game has to be developed for a group of children an appropriate multi-user setting has to be found. If the pervasive game does not support the children with a...
Resource allocation problems in multi-user systems, modeled as Nash bargaining (NB) cooperative games, are investigated under different constraints. Using the joint time division m...
A fast-growing body of research in the AI and machine learning communities addresses learning in games, where there are multiple learners with different interests. This research a...