The role of AI in shaping smart services and smart systems

Abstract

Services and Systems must include a set of features to remain competent and future conform: intelligent behaviour, personalisation, adaptivity, scalability, manageability, case of use and user friendliness, security, and self-healing capabilities. As a consequence, new architectural models are needed, which provide the users with access to a cognitive behaviour aspect of the system, and which may draw inspiration from the brain sciences. On the other hand, we have to use knowledge representation and semantic modeling, e.g., ontologies for representing our environment or basic properties of services and systems. This would naturally involve Agent Technology, AI, and Software Technology. So, approaches from many different disciplines have to work in integration. Integrated frameworks handling such different aspects are called "Serviceware Frameworks". They contain a scalable Service Architecture, which facilitates merging different selected features into a service, as well as a scalable socalled Service Engine with a Serviceware Infrastructure. For creating Smart Services and Smart Systems, we use engineering approaches that include innovative service description languages and tools. In this presentation, a framework with the properties and features just described will be presented. A sample application developed with this framework will also be presented: the "Smart Energy Assistant". © springer-Verlag Berlin Heidelberg 2007.