Decentralized Markov Decision Processes are a powerful general model of decentralized, cooperative multi-agent problem solving. The high complexity of the general problem leads to...
A multi-agent system is a network of software agents that cooperate to solve problems. In open multi-agent systems, the agents that need resources provided by other agents are not ...
Effective human teams often benefit from proactivity through members’ capability of anticipating different needs of teammates. In this paper, we focus on three issues related...
John Yen, Xiaocong Fan, Shuang Sun, Rui Wang, Cong...
We consider the problem of unsupervised classification of temporal sequences of facial expressions in video. This problem arises in the design of an adaptive visual agent, which m...
The goal of this paper is to explore the effects of synchronization on distributed decision making processes. In particular, we examine the dynamics of a spatially distributed mul...