TY - BOOK ID - 8506062 TI - Organic computing : a paradigm shift for complex systems AU - Muller-Schloer, Christian. AU - Schmeck, Hartmut. AU - Ungerer, Theo. PY - 2011 SN - 3034801297 3034801300 PB - Basel : Springer Basel, DB - UniCat KW - Computer architecture. KW - High performance processors. KW - Parallel processing (Electronic computers). KW - Electrical & Computer Engineering KW - Engineering & Applied Sciences KW - Telecommunications KW - Computer Science KW - Molecular computers. KW - Organic compounds KW - Industrial applications. KW - Compounds, Organic KW - Organic chemicals KW - DNA-based computers KW - DNA computers KW - Computer science. KW - Computer organization. KW - Computer Science. KW - Computer Systems Organization and Communication Networks. KW - Organization, Computer KW - Electronic digital computers KW - Informatics KW - Science KW - Carbon compounds KW - Biocomputers KW - Natural computation KW - Computer network architectures. KW - Architectures, Computer network KW - Network architectures, Computer KW - Computer architecture UR - https://www.unicat.be/uniCat?func=search&query=sysid:8506062 AB - Organic Computing has emerged as a challenging vision for future information processing systems. Its basis is the insight that we will increasingly be surrounded by and depend on large collections of autonomous systems, which are equipped with sensors and actuators, aware of their environment, communicating freely, and organising themselves in order to perform actions and services required by the users. These networks of intelligent systems surrounding us open fascinating application areas and at the same time bear the problem of their controllability. Hence, we have to construct such systems as robust, safe, flexible, and trustworthy as possible. In particular, a strong orientation towards human needs as opposed to a pure implementation of the technologically possible seems absolutely central. The technical systems, which can achieve these goals will have to exhibit life-like or "organic" properties. "Organic Computing Systems" adapt dynamically to their current environmental conditions. In order to cope with unexpected or undesired events they are self-organising, self-configuring, self-optimising, self-healing, self-protecting, self-explaining, and context-aware, while offering complementary interfaces for higher-level directives with respect to the desired behaviour. First steps towards adaptive and self-organising computer systems are being undertaken. Adaptivity, reconfigurability, emergence of new properties, and self-organisation are hot topics in a variety of research groups worldwide. This book summarises the results of a 6-year priority research program (SPP) of the German Research Foundation (DFG) addressing these fundamental challenges in the design of Organic Computing systems. It presents and discusses the theoretical foundations of Organic Computing, basic methods and tools, learning techniques used in this context, architectural patterns and many applications. The final outlook shows that in the mean-time Organic Computing ideas have spawned a variety of promising new projects. ER -