Learning and programming in classifier systems

Both symbolic and subsymbolic models contribute important insights to our understanding of intelligent systems. Classifier systems are low-level learning systems that are also capable of supporting representations at the symbolic level. In this paper, the authors explore in detail the issues surroun...

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Veröffentlicht in:	Machine learning 1988-10, Vol.3 (2-3), p.193-223
Hauptverfasser:	Belew, Richard K., Forrest, Stephanie
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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