| dc.contributor.author | Baumgartner, Peter | |
| dc.contributor.author | Thorstensen, Evgenij | |
| dc.date | 2010-04-01 | |
| dc.date.accessioned | 2018-01-08T09:14:11Z | |
| dc.date.available | 2018-01-08T09:14:11Z | |
| dc.date.issued | 2010 | |
| dc.identifier.issn | 1610-1987 | |
| dc.identifier.uri | http://dl.gi.de/handle/20.500.12116/11119 | |
| dc.description.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. | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 24, No. 1 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Instance Based Methods—A Brief Overview | |
| dc.type | Text/Journal Article | |
| mci.reference.pages | 35-42 | |
| gi.identifier.doi | 10.1007/s13218-010-0002-x | |
