Impact assessment (IA) is a key method for the legislator to evaluate policies, norms or regulations currently under development. Experts use IA to gather and analyze input from m...
This paper presents a new planning/scheduling methodology for the constrained resource problem (CRP), in which the amount of available resources is limited and usually monotonical...
This paper presents our Recurrent Control Neural Network (RCNN), which is a model-based approach for a data-efficient modelling and control of reinforcement learning problems in di...
We demonstrate how access control models and policies can be represented by using term rewriting systems, and how rewriting may be used for evaluating access requests and for provi...
Abstract— In highly open systems like the Internet, attributebased access control (ABAC) has proven its appropriateness. This is reflected in the utilization of ABAC in authenti...
Torsten Priebe, Wolfgang Dobmeier, Christian Schl&...