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The ability to learn at runtime is a fundamental prerequisite for self-adaptive and self-organising systems that allows for dealing with unanticipated conditions and dynamic environments. Often, this machine learning process has to be highly or fully autonomous. That is, the degree of interaction with humans must be reduced to a minimum. In principle, there exist various learning paradigms for this...
Systems capable of adapting to changing conditions have gained increasing attention in the last decade. Typically, vast situation and configuration spaces do not allow for using a predefined set of adaptation policies. Based on the principles of Organic Computing, a 3-layered learning architecture has been developed which is capable of coping with the problem by enabling self-adaptation and self-improvement...
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