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Erschienen in: KI - Künstliche Intelligenz 1/2010

01.04.2010 | Fachbeitrag

Instance Based Methods—A Brief Overview

verfasst von: Peter Baumgartner, Evgenij Thorstensen

Erschienen in: KI - Künstliche Intelligenz | Ausgabe 1/2010

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Abstract

Instance-based methods are a specific class of methods for automated proof search in first-order logic. This article provides an overview of the major methods in the area and discusses their properties and relations to the more established resolution methods. It also discusses some recent trends on refinements and applications. This overview is rather brief and informal, but we provide a comprehensive literature list to follow-up on the details.

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1
It took another 25 years until the development of the “modern” theory of resolution had begun in the 1990s [11]. This lead to a breakthrough in resolution theory by unifying more or less all resolution variants and improvements until then in a single theoretical framework, yet more elegant, general and powerful [12].
 
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Metadaten
Titel
Instance Based Methods—A Brief Overview
verfasst von
Peter Baumgartner
Evgenij Thorstensen
Publikationsdatum
01.04.2010
Verlag
Springer-Verlag
Erschienen in
KI - Künstliche Intelligenz / Ausgabe 1/2010
Print ISSN: 0933-1875
Elektronische ISSN: 1610-1987
DOI
https://doi.org/10.1007/s13218-010-0002-x

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