Open Access 2012 | OriginalPaper | Buchkapitel
Towards Creative Information Exploration Based on Koestler’s Concept of Bisociation
verfasst von : Werner Dubitzky, Tobias Kötter, Oliver Schmidt, Michael R. Berthold
Erschienen in: Bisociative Knowledge Discovery
Verlag: Springer Berlin Heidelberg
Creative information exploration
refers to a novel framework for exploring large volumes of heterogeneous information. In particular, creative information exploration seeks to discover new, surprising and valuable relationships in data that would not be revealed by conventional information retrieval, data mining and data analysis technologies. While our approach is inspired by work in the field of computational creativity, we are particularly interested in a model of creativity proposed by Arthur Koestler in the 1960s. Koestler’s model of creativity rests on the concept of
bisociation
. Bisociative thinking occurs when a problem, idea, event or situation is perceived simultaneously in two or more “matrices of thought” or domains. When two matrices of thought interact with each other, the result is either their
fusion
in a novel intellectual synthesis or their
confrontation
in a new aesthetic experience. This article discusses some of the foundational issues of computational creativity and bisociation in the context of creative information exploration.