An important emerging requirement for computing systems is the ability to adapt at run time, taking advantage of local computing devices, and coping with dynamically changing reso...
In this paper we adopt a component model based on object-oriented systems, introducing the concepts of components and their structure. A component consists of a dynamically changi...
Memory is often considered to be embedded into one of the attractors in neural dynamical systems, which provides an appropriate output depending on the initial state specified by ...
In many applications, decision making under uncertainty often involves two steps- prediction of a certain quality parameter or indicator of the system under study and the subseque...
Abstract This paper proposes an approach to continuously optimizing parallel scientific applications with dynamically changing architectures. We achieve this by combining a dynamic...