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 ap-plication 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 tech-nologically 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 top-ics 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.
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