We investigate the use of self-predicting neural networks for autonomous robot learning within noisy or partially predictable environments. A benchmark experiment is performed in ...
James B. Marshall, Neil K. Makhija, Zachary D. Rot...
This study evaluates appointment systems used in hospitals by incorporating appointment rules and patient characteristics. Using an experiment unit at an internal medicine departm...
SEARUMS is an Eco-modeling, bio-simulation, and analysis environment to study the global epidemiology of Avian Influenza. Originally developed in Java, SEARUMS enables comprehensi...
The exchange of data between different models in a multisimulation environment is about the exchange of information from within the context of two separate worldviews. This amount...
Abstract. Software agent technology has attracted much attention for developing various distributed systems, composed of autonomous agents interacting with one another using partic...