— In this paper we develop a new dual decomposition method for optimizing a sum of convex objective functions corresponding to multiple agents but with coupled constraints. In ou...
Multi-agent systems designed to work collaboratively with groups of people typically require private information that people will entrust to them only if they have assurance that ...
Rachel Greenstadt, Barbara J. Grosz, Michael D. Sm...
Use of tags to limit partner selection for playing has been shown to produce stable cooperation in agent populations playing the Prisoner’s Dilemma game. There is, however, a lac...
Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to joi...
We are investigating how to provide intelligent, pervasive support of group of people within so-called “smart environments”. Our current main assumption, based on literature in...