Empirical game theory allows studying the strategic interactions of agents in simulations. Specifically, traditional game theory describes such interactions by an analytical model...
Thierry Moyaux, Brahim Chaib-draa, Sophie D'Amours
Personalized information agents can help overcome some of the limitations of communal Web information sources such as portals and search engines. Two important components of these...
This paper presents multi-conditional learning (MCL), a training criterion based on a product of multiple conditional likelihoods. When combining the traditional conditional proba...
Andrew McCallum, Chris Pal, Gregory Druck, Xuerui ...
—This paper presents a model of collaborative decision-making for groups that involve people and computer agents. The model distinguishes between actions relating to participants...
We consider the problem of computing optimal schedules in multi-agent systems. In these problems, actions of one agent can influence the actions of other agents, while the object...
Willem Jan van Hoeve, Carla P. Gomes, Bart Selman,...