The increasing reliance on information technology to support business processes has emphasised the need for information security mechanisms. This, however, has resulted in an ever...
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Scenarios are powerful tools to model and analyze software systems. However, since they do not provide a complete description of the system, but just some possible execution paths,...
Abstract— Situated agents engaged in open systems continually face with external events requiring adequate services and behavioral responses. In these conditions agents should be...
For modeling and analyzing regulatory networks based on qualitative information and possibly additional temporal constraints, approaches using hybrid automata can be very helpful. ...