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oai:drops-oai.dagstuhl.de:1564 2024-03-06T11:08:04Z ddc:004 open_access

Current state of ASoC design methodology Bernauer, Andreas Fritz, Dirk Sander, Björn Bringmann, Oliver Rosenstiel, Wolfgang Dagstuhl Seminar Proceedings System-on-Chip design methodology system reliability learning classifier system XCS ASoC This paper gives an overview of the current state of ASoC design methodology and presents preliminary results on evaluating the learning classifier system XCS for the control of a QuadCore. The ASoC design methodology can determine system reliability based on activity, power and temperature analysis, together with reliability block diagrams. The evaluation of the XCS shows that in the evaluated setup, XCS can find optimal operating points, even in changed environments or with changed reward functions. This even works, though limited, without the genetic algorithm the XCS uses internally. The results motivate us to continue the evaluation for more complex setups. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Andreas Bernauer and Dirk Fritz and Björn Sander and Oliver Bringmann and Wolfgang Rosenstiel 2008 Is Part Of Dagstuhl Seminar Proceedings, Volume 8141, Organic Computing - Controlled Self-organization (2008) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08141.6 urn:nbn:de:0030-drops-15646 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08141.6 eng https://creativecommons.org/licenses/by/4.0/legalcode