The crisis in science education and the need for innovative computer-based learning environments has prompted us to develop a multi-agent system, Betty’s Brain that implements t...
Krittaya Leelawong, Karun Viswanath, Joan M. Davis...
General-purpose operating systems provide a rich computing environment both to the user and the attacker. The declining cost of hardware and the growing security concerns of softw...
Eric Bryant, James P. Early, Rajeev Gopalakrishna,...
Distributed partially observable Markov decision problems (POMDPs) have emerged as a popular decision-theoretic approach for planning for multiagent teams, where it is imperative f...
Evolution has proven to be an effective method of training heterogeneous multi-agent teams of autonomous agents to explore unknown environments. Autonomous, heterogeneous agents ...
We present CAMEO, the Camera Assisted Meeting Event Observer, which is a physical awareness system designed for use by an agent-based electronic assistant. CAMEO is used to observ...
Paul E. Rybski, Fernando De la Torre, Raju Patil, ...