Abstract
Der vorliegende Beitrag beschreibt eine neue, wissensintensive Lernmethode im Kontext eines interaktiven ‘Learning Apprentice Systems’ fur ein musikalisches Anwendungsgebiet, nämlich zweistimmige Kontrapunkt-Komposition. Die Lernmethode integriert Aspekte deduktiven und induktiven Lernens; sie ist ein allgemeines Schema und somit nicht musikspezifisch. Die Notwendigkeit solcher hybrider Lernalgorithmen wird vom Standpunkt des maschinellen Lernens im allgemeinen und der musikalischen Ausgangssituation im speziellen motiviert. Die verschiedenen Arbeitsmodi des Algorithmus werden einzeln beschrieben, und ihre Funktionsweise wird anhand einfacher Beispiele aus dem musikalischen Anwendungsbereich demonstriert.
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Widmer, G. (1989). Wissensbasiertes Lernen in der Musik: Die Integration induktiver und deduktiver Lernmethoden. In: Retti, J., Leidlmair, K. (eds) 5. Österreichische Artificial-Intelligence-Tagung. Informatik-Fachberichte, vol 208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-74688-8_18
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DOI: https://doi.org/10.1007/978-3-642-74688-8_18
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