: Autonomous neural network systems typically require fast learning and good generalization performance, and there is potentially a trade-off between the two. The use of evolutiona...
Abstract. In this work, we propose a method for self-organized adaptive task partitioning in a swarm of robots. Task partitioning refers to the decomposition of a task into less co...
Marco Frison, Nam-Luc Tran, Nadir Baiboun, Arne Br...
Comparing the expressive power of access control models is recognized as a fundamental problem in computer security. Such comparisons are generally based on simulations between di...
In large organizations the administration of access privileges (such as the assignment of an access right to a user in a particular role) is handled cooperatively through distribu...
Policies are a means of influencing management behaviour within a distributed system, without coding the behaviour into the managers. Authorisation policies specify what activitie...