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UID:131@lincs.fr
DTSTART;TZID=Europe/Paris:20140704T150000
DTEND;TZID=Europe/Paris:20140704T160000
DTSTAMP:20170313T171223Z
URL:https://www.lincs.fr/events/organic-computing-adaptivity-self-organiza
 tion-runtime-rue-barrault-room-e200/
SUMMARY:Organic Computing: Adaptivity and Self-organization at Runtime @
 rue Barrault room E200
DESCRIPTION:Organic Computing has emerged almost 10 years ago as a
 challenging vision for future in-formation processing systems\, based on
 the insight that already in the near future we will be surrounded by large
 collections of autonomous systems equipped with sensors and actuators to be
 aware of their environment\, to communicate freely\, and to organize
 themselves. The presence of networks of intelligent systems in our
 environment opens fascinating application areas but\, at the same time\,
 bears the problem of their controllability. Hence\, we have to construct
 these systems - which we increasingly depend on - as robust\, safe\,
 flexible\, and trustworthy as possible. In order to achieve these goals\,
 our technical systems will have to act more independently\, flexibly\, and
 autonomously\, i.e. they will have to exhibit life-like properties. We call
 those systems organic. Hence\, an Organic Computing System is a technical
 system\, which adapts dynamically to the current conditions of its
 environment. It will be self-organizing\, self-configuring\, self-healing\,
 self-protecting\, self-explaining\, and context-aware.First steps towards
 adaptive and self-organizing computer systems have already been undertaken.
 Adaptivity\, reconfigurability\, emergence of new properties\, and
 self-organisation are topics in a variety of research projects. From 2005
 until 2011 the German Science Foundation (DFG) has funded a priority
 research program on Organic Computing. It has addressed fundamental
 challenges in the design of complex computing systems\; its ojective was a
 deeper understanding of emergent global behaviour in self-organising
 systems and the design of specific concepts and tools to support the
 construction of Organic Computing systems for technical applications.This
 presentation will briefly recapitulate the basic motivation for Organic
 Computing\, explain key concepts\, and illustrate these concepts with some
 project examples. We will then look into possible future directions of OC
 research concentrating on (1) Online optimization and (2) Social Organic
 Computing.\n\nBiography: Christian Müller-Schloer studied EE at the
 Technical University of Munich and received the Diploma degree in 1975\,
 the Ph. D. in semiconductor physics in 1977. In the same year he joined
 Siemens Corporate Technology where he worked in a variety of research
 fields\, among them CAD for communication systems\, cryptography\,
 simulation accelerators and RISC architectures.From 1980 until 1982 he was
 a member of the Siemens research labs in Princeton\, NJ\, U.S.A. In 1991 he
 was appointed full professor of computer architecture and operating systems
 at the University of Hannover. His institute\, later renamed to Institute
 of Systems Engineering\n\n&nbsp\;
CATEGORIES:Seminars
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