Hot-off-the-Press: New Organic Computing book now released!
This new book is a comprehensive introduction into Organic Computing (OC), presenting systematically the current state-of-the-art in OC. It starts with motivating examples of self-organising, self-adaptive and emergent systems, derives their common characteristics and explains the fundamental ideas for a formal characterisation of such systems. Special emphasis is given to a quantitative treatment of concepts like self-organisation, emergence, autonomy, robustness, and adaptivity. The book shows practical examples of architectures for OC systems and their applications in traffic control, grid computing, sensor networks, robotics, and smart camera systems. The extension of single OC systems into collective systems consisting of social agents based on concepts like trust and reputation is explained. OC makes heavy use of learning and optimisation technologies; a compact overview of these technologies and related approaches to self-organising systems is provided.
Birkhäuser (2017), 560 pages
Welcome to the Organic Computing Initiative!
Progress in the area of computer architectures – as observed since the 1960ies – will continue at a similar rate in the future. A doubling of relevant performance parameters every 18 – 24 months – according to the generalized Moore law – will characterize the future development as well. Mastering this complexity requires a new paradigm, which is more oriented towards fulfilling human needs than just implementing everything that is technically possible. Computers (and computerized systems) should adapt to humans and to the current situation, not vice versa.
Adaptivity and self-organization are the key capabilities of future complex computers and computerized systems. Large numbers of autonomous subsystems will try permanently to achieve an optimization goal as prescribed by the human user. The ability of cooperation with other subsystems (and with humans) plays a central role. Such computer systems will have properties, which make them look lifelike – or “organic”.
Organic computer systems consist of autonomous and cooperating subsystems, they function – as far as possible – self-organizing. Self-organization is based on adaptive and context-sensitive behavior. Organic Computer (OC) systems have so called self-x properties like: