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From analogical proportions in lattices to proportional analogies in formal concepts. (English) Zbl 1366.68310

Schaub, Torsten (ed.) et al., ECAI 2014. 21st European conference on artificial intelligence, Prague, Czech Republic, August 18–22, 2014. Proceedings. Including proceedings of the accompanied concerence on prestigious applications of intelligent systems (PAIS 2014). Amsterdam: IOS Press (ISBN 978-1-61499-418-3/pbk; 978-1-61499-419-0/ebook). Frontiers in Artificial Intelligence and Applications 263, 627-632 (2014).
Summary: The paper provides an attempt at bridging formal concept analysis and the modeling of analogical proportions (i.e., statements of the form “\(a\) is to \(b\) as \(c\) is to \(d\)”). A suitable definition for analogical proportions in non distributive lattices is proposed and then applied to concept lattices. This enables us to compute what we call proportional analogies that establish analogies on a proportional basis between pairs (\(a\), \(b\)) and (\(c\), \(d\)) when \(a\) and \(c\) belong to a domain and \(b\) and \(d\) to another domain (as in “Moby Dick is to Herman Melville as Alice in Wonderland is to Lewis Carroll”).
For the entire collection see [Zbl 1296.68011].

MSC:

68T30 Knowledge representation