Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
The development of application specific instruction set processors comprises several design phases: architecture exploration, software tools design, system verification and design...
Oliver Schliebusch, Andreas Hoffmann, Achim Nohl, ...
This paper presents a framework for representing and distributing access control policies in distributed heterogeneous systems. Access control polices follows the RBAC (Role Based...
Current developments in processing data streams are based on the best-effort principle and therefore not adequate for many application areas. When sensor data is gathered by inte...
Researchers have developed many models to predict and understand human performance in text entry. Most of the models are specific to a technology or fail to account for human fact...