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      Exploring high-level Perspectives on Self-Configuration Capabilities of Systems

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          Abstract

          Optimization of product performance repetitively introduces the need to make products adaptive in a more general sense. This more general idea is often captured under the term 'self-configuration'. Despite the importance of such capability, research work on this feature appears isolated by technical domains. It is not easy to tell quickly whether the approaches chosen in different technological domains introduce new ideas or whether the differences just reflect domain idiosyncrasies. For the sake of easy identification of key differences between systems with self-configuring capabilities, I will explore higher level concepts for understanding self-configuration, such as the {\Omega}-units, in order to provide theoretical instruments for connecting different areas of technology and research.

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          Author and article information

          Journal
          2016-06-28
          Article
          10.13140/RG.2.1.2945.6885
          1606.08906
          72176709-1ea4-4024-aea1-407ce81d091e

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          Custom metadata
          46 pages, 62 figures
          cs.AI

          Artificial intelligence
          Artificial intelligence

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