An autonomic system is structured as a network of autonomic elements that collaborate to achieve the system’s purpose. This paper examines the potential benefit of using well-es...
David W. Bustard, Roy Sterritt, A. Taleb-Bendiab, ...
Distributed W-Learning (DWL) is a reinforcement learningbased algorithm for multi-policy optimization in agent-based systems. In this poster we propose the use of DWL for decentra...
We present a new framework optimized for the design, implementation, and testing of control systems for autonomous robots. It is based on a new visual specification language whic...
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...