Jürgen Hupp – författare

Industriepraktiker, Informatiker und Soziologen berichten über ihre Konzepte und Erfahrungen bei der Entwicklung und dem Einsatz wissensbasierter Diagnosesysteme im Service-Support. Dabei wird Fachwissen zur Lösung von Kundenproblemen formalisiert und ggf. mit elektronisch bereits vorhandenen Dokumenten wie z.B. Handbüchern verknüpft. Je nach betrieblicher Situation können Kunden so direkt über das Internet oder über die Hotline eines Intranets bei der Fehlerbehebung unterstützt werden. Der Hauptaufwand besteht in der Entwicklung und Pflege der Wissensbasis. Um ihn zu verringern, werden eine Reihe bekannter und neuer Strategien vorgestellt. Dazu gehören Wissensformalisierungsmuster, Wissensmodularisierung durch kooperierende Diagnoseagenten, Selbstakquisition und begrenzte Systemeinsätze zur betrieblichen Einführung. Die beigelegte CD-ROM enthält zwei Tutorials und eine Demo-Version des Diagnostik-Shellbaukastens D3, mit der die Leser mühelos selber Prototypen entwickeln können.

Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010–2020. AmI is essentially an elabo- tion of Mark Weiser’s vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its adoption the vision has grown and fully developed, bec- ing quite influential in the development of novel ideas for information processing and new concepts for multi-disciplinary fields including electrical engineering, computer science, industrial design, user interfaces, and cognitive sciences. The AmI system - fords a basis for new paradigms of technological innovation within a multi-dimensional society. The added value of the AmI vision is the fact that the large-scale integration of electronics into the environment allows the actors, i. e. , people and objects, to collaborate with their surroundings in a natural measure. This is directly related to the increasing societal demand for communication and the exchange of information.

Ambient intelligence (AmI) was established in the late 1990s as a recent paradigm for electronic environments for the timeframe of 2010–2020. AmI is essentially an elabo- tion of Mark Weiser’s vision of ubiquitous computing. Weiser was aiming at a novel mobile computing infrastructure integrated into the networked environment of people. AmI is the idea of a technology that will become invisibly embedded in our natural s- roundings, present whenever we need it, enabled by simple and effortless interaction, attuned to all our senses, adaptive to users, context-sensitive, and autonomous. AmI refers to smart electronic environments that are sensitive and responsive to the presence of people. Since its adoption the vision has grown and fully developed, bec- ing quite influential in the development of novel ideas for information processing and new concepts for multi-disciplinary fields including electrical engineering, computer science, industrial design, user interfaces, and cognitive sciences. The AmI system - fords a basis for new paradigms of technological innovation within a multi-dimensional society. The added value of the AmI vision is the fact that the large-scale integration of electronics into the environment allows the actors, i. e. , people and objects, to collaborate with their surroundings in a natural measure. This is directly related to the increasing societal demand for communication and the exchange of information.