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DOI: 10.4230/DagSemProc.09201.10
URN: urn:nbn:de:0030-drops-21232
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Müller-Schloer, Christian

Sandbox Learning: Try without error?

09201.MuellerSchloerChristian.ExtAbstract.2123.pdf (0.1 MB)


Adaptivity is enabled by learning. Natural systems learn differently from technical systems. In particular, technical systems must not make errors. On the other hand, learning seems to be impossible without occasional errors.
We propose a 3-level architecture for learning in adaptive technical systems and show its applicability in the domains of traffic control and communication network control.

BibTeX - Entry

  author =	{M\"{u}ller-Schloer, Christian},
  title =	{{Sandbox Learning: Try without error?}},
  booktitle =	{Self-Healing and Self-Adaptive Systems},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9201},
  editor =	{Artur Andrzejak and Kurt Geihs and Onn Shehory and John Wilkes},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{},
  URN =		{urn:nbn:de:0030-drops-21232},
  doi =		{10.4230/DagSemProc.09201.10},
  annote =	{Keywords: Learning, real time, natural systems, technical systems}

Keywords: Learning, real time, natural systems, technical systems
Collection: 09201 - Self-Healing and Self-Adaptive Systems
Issue Date: 2009
Date of publication: 07.08.2009

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