CONCEPT
BisoNet Framework
The 2012 computational creativity framework by Dubitzky, Kötter, Schmidt, and Berthold that explicitly built <em>network architectures on Koestler's bisociation</em>—the most serious technical formalization of the concept to date.
BisoNet is the computational framework introduced by Werner Dubitzky, Tobias Kötter, Martin Schmidt, and Michael Berthold in 2012 to operationalize Koestler's bisociation for information systems. The researchers explicitly acknowledged that Koestler 'lacked a formal, computational vocabulary for describing bisociation' and set out to provide one. Their framework distinguished between networks supporting association—connecting elements within a single knowledge domain—and networks supporting bisociation—connecting elements across domains that had previously been treated as separate. BisoNet is the most serious technical formalization of Koestler's concept and a foundation for subsequent work in computational creativity.
In The You On AI Field Guide
The framework was developed at the Nycomed Chair for Bioinformatics and Information Mining at the University of Konstanz, as part of a broader effort to build computational systems capable of supporting rather than merely imitating creative thought. The researchers recognized that existing knowledge representation systems—ontologies, semantic networks, knowledge graphs—were fundamentally associative in Koestler's sense: they encoded connections within coherent knowledge domains but lacked the architectural features needed to represent connections across habitually
Keep reading with YOU ON AI
Unlock the full book, 10,000+ field-guide entries, and a 1000+ thinker library. If you have a book code, register now — it takes a minute.