Accurate measurement and modeling of IP networks is essential for network design, planning, and management. Efforts are being made to detect the state of the network from end-to-e...
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
The decades of research in motion planning have resulted in numerous algorithms. Many of the most successful algorithms are randomized and can have widely differing run-times for ...
— When the end-effector of a robot is slid on a flat surface, the stiffness matrix obtained by linear fitting of position and force contains information not only on the stiffne...
Run-time errors are typically seen as unacceptable within safety and security critical software. The SPARK approach to the development of high integrity software addresses the pro...