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Describing and Integrating Competence Theories for Problem-Solving Components and Machine Learning algorithms

  • A topic in the field of knowledge acquisition is the reuse of components that are described at the knowledge level. Problems concern the description, indexing and retrieval of components. In our case there is the additional feature of integrating so called automated building blocks in a knowledge level description. This paper describes what knowledge level descriptions of components for reuse should look like, and proposes a way to describe assumptions and requirements that are to be made explicit. In the paper an extension of the “normal” knowledge acquisition setting is made in the direction of machine learning components.

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Metadaten
Author:Robert Engels, Rainer Perkuhn
URN:urn:nbn:de:bsz:mh39-48379
Parent Title (English):Position Paper Collection of the 9th European Knowledge Acquisition Workshop (EKAW '96), Matlock Bath, Germany, May 26-29, 1996
Publisher:AIFB
Place of publication:Karlsruhe
Document Type:Working Paper
Language:English
Year of first Publication:1996
Date of Publication (online):2016/05/02
Publicationstate:Veröffentlichungsversion
Reviewstate:(Verlags)-Lektorat
Tag:Competence Theories; Knowledge Acquisition; Knowledge Level Descriptions; Machine Learning Algorithms; Multi-Strategy Learning
Pagenumber:12
Dewey Decimal Classification:400 Sprache / 410 Linguistik
BDSL-Classification:Textwissenschaft
Leibniz-Classification:Sprache, Linguistik
Linguistics-Classification:Computerlinguistik
Open Access?:Ja
Licence (German):License LogoCreative Commons - Namensnennung-Nicht kommerziell-Keine Bearbeitung 3.0 Deutschland