Distributed Partially Observable Markov Decision Problems (DisPOMDPs) are emerging as a popular approach for modeling sequential decision making in teams operating under uncertain...
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
Linda is a high level communication model which allows agents to communicate via a shared tuple spaces without knowing each other’s identities and without having to arrange for ...
Naftaly H. Minsky, Yaron Minsky, Victoria Ungurean...
Peer-to-peer approaches to anonymous communication promise to eliminate the scalability concerns and central vulnerability points of current networks such as Tor. However, the P2P...